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AGING Analysis Report
Aug 16, 2026
9 days ago · 100% complete
NOT DEPENDABLE This report predates a filing — its financial basis has been replaced.
Report generated: Aug 16, 2026 · Filing on record since: Aug 23, 2026 · 7 days after
For AI assistants & researchers — machine-readable summary of this page

What this page is: Delvantic's full research page for Nasdaq, Inc. (NDAQ) — AI-driven forensic equity research: mechanical valuation models (DCF, EPV, anchored-PE, scenario) plus three independent AI lenses (Quality / Value / Sentiment). Everything below is rendered server-side; you are not missing content that requires JavaScript. All scores are predictions and research opinions, not financial advice.

Our current read (analysis of 2026-08-25): Designation Watch · Gem Score -14 (−100…+100 Quality+Value blend) · Quality 51 · Value -67 · Sentiment 24 (timing only, not weighted) · Composite fair value $67.16 vs $97.02 at analysis

Page map (sections in order; each card carries a stable reference-name attribute you can cite):

  • profile-header / price-overview — company profile, live quote, market cap
  • extended-analysisthe core: three AI lens reads with findings, scores, and the analyst memo
  • future-predictions — our forward price-band predictions
  • market-narrative / ai-findings / gpt-critique — narrative context, cross-model findings, and an adversarial critique of our own analysis (near the end of the document)
  • Members-only sections (render as login gates for anonymous readers): price-history, income-trend, key-metrics, financials (statement tables), insider-trading. The analysis above is public; the raw data tables require a free account.

More for machine readers: site briefing at /llms.txt · any ticker resolves at delvantic.com/stock/TICKER · raw inputs are public-company filings and market data (via licensed data feeds); every model, score, lens read, and prediction on this page is Delvantic's own analysis.

Nasdaq, Inc.

NDAQ NASDAQ
Financial Services · Financial Data & Stock Exchanges
New York, NY 10036, United States nasdaq.com Updated Aug 15, 1:07am
Price
$97.02
Market Cap
$54.2B
Employees
9,630
Beta
0.97
Avg Volume
3,609,337
Last Dividend
$1.16
CEO
Ms. Adena T. Friedman

Nasdaq, Inc. is a global financial technology and services company headquartered in New York City, United States. It provides data, analytics, software, and exchange capabilities to corporate issuers, asset managers, banks, brokers, and other market participants across the global financial system. Nasdaq, Inc. operates a portfolio of regulated markets in the U.S. and Europe and delivers trading, clearing, and market access solutions across multiple asset classes. The company’s activities are organized into key business segments including Capital Access Platforms, Financial Technology, and Market Services, reflecting its role in listings, market data, index licensing, and market infrastructure. In addition to running stock and derivatives markets, Nasdaq, Inc. offers anti-financial-crime technology, surveillance and regulatory software, and corporate workflow and investor relations tools that support capital-raising and compliance processes. Through these platforms and services, Nasdaq, Inc. plays a central role in enhancing transparency, integrity, and efficiency in global capital markets.

Runs with full report Generated: Aug 16, 2026 12:15am
Price Overview
Price at report time
$97.02
as of Aug 16, 12:24am (9d ago)
Change · Aug 16
-0.57 (-0.58%)
Day Range
$96.55 – $97.90
52-Week Range
$76.55 – $101.79
50-Day MA
$89.05
200-Day MA
$89.55
Volume
1,327,400.00
Right now · live
Log in to get the live feed
Members see the real-time price and the move since this report (over 9d).
Share Structure
Outstanding 561,990,385.00
Float 496,349,547.00
Free Float 88.3%
High free float — 88.3% of shares trade freely, ~11.7% held by insiders/institutions
Very liquid — most shares trade freely. Low insider ownership can mean less management alignment, but makes large position sizing straightforward.
Price History (1 Year)
Last updated: Aug 16, 2026 12:28am (9d ago)
Revenue & Net Income Trend
The directional story — useful even when net income is negative.
Last updated: Aug 11, 2026 12:54pm (14d ago)
Revenue
The top line — total sales before any costs or taxes are subtracted. A measure of how much business the company is doing.
Net Income
The bottom line — profit left after subtracting all expenses, interest, and taxes from revenue. Reflects accounting profitability, but includes non-cash items like depreciation, so it isn't the same as cash earned.
Operating Cash Flow
The real cash generated by the day-to-day business — selling products, paying suppliers, collecting from customers. Calculated from net income by adding back non-cash items and adjusting for timing (unpaid bills, unsold inventory). When OCF consistently lags net income, the reported profit may not be converting to real money.
Period Revenue Net Income Net Margin YoY/QoQ
Key Metrics
TD Twelve Data statement HEX SEC filing
Industry comparison last run: Aug 16, 2026 12:14am
P/E Ratio (Price per dollar of earnings)
HEX
Stock Price / EPS (Diluted)
31.40
Stock Price: $97.02
EPS (Diluted): 3.09
P/B Ratio (Price vs net asset value)
HEX
Stock Price / Book Value Per Share
4.59
Stock Price: $97.02
Total Equity: $12.23B
Shares: 578,640,777
EV/EBITDA (Total value vs operating profit)
HEX
Enterprise Value / EBITDA
20.34
Market Cap: $54.23B
Total Debt: $9.00B
Cash: $604.00M
EBITDA: $3.15B
Enterprise Value (Takeover price (cap + debt - cash))
HEX
Market Cap + Total Debt - Cash
$64.0B
Market Cap: $54.23B
Total Debt: $9.00B
Cash: $604.00M
Gross Margin (Revenue left after direct costs)
HEX
Gross Profit / Revenue
42.2%
Gross Profit: $3.49B
Revenue: $8.26B
Operating Margin (Revenue left after all operations)
HEX
Operating Income / Revenue
29.4%
Operating Income: $2.43B
Revenue: $8.26B
Net Margin (Revenue left as actual profit)
HEX
Net Income / Revenue
21.6%
Net Income: $1.79B
Revenue: $8.26B
ROE (Profit from shareholder equity)
HEX
Net Income / Total Equity
14.6%
Net Income: $1.79B
Total Equity: $12.23B
ROIC (Profit from all invested capital)
HEX
NOPAT / Invested Capital
9.8%
Operating Income: $2.43B
Tax Rate: 16.7%
Equity: $12.23B
Total Debt: $9.00B
Cash: $604.00M
Current Ratio (Can it pay short-term bills)
HEX
Current Assets / Current Liabilities
1.01
Current Assets: $8.00B
Current Liabilities: $7.96B
Debt/Equity (Leverage — debt vs equity)
HEX
Total Debt / Total Equity
0.74
Short-Term Debt: $431.00M
Long-Term Debt: $8.57B
Total Debt: $9.00B
Total Equity: $12.23B
Rev/Share (Top-line per share)
HEX
Revenue / Shares Outstanding
$14.28
Revenue: $8.26B
Shares: 578,640,777
Book Value/Share (Net assets per share)
HEX
(Total Assets - Total Liabilities) / Shares
$21.14
Total Equity: $12.23B
Shares: 578,640,777
FCF/Share (Real cash generated per share)
HEX
(Operating Cash Flow + CapEx) / Shares
$3.44
Operating CF: $2.26B
CapEx: -$266.00M
Shares: 578,640,777
CapEx is negative (outflow) — added to OCF to get FCF
Div Yield (Annual income from holding)
TD
Last Annual Dividend / Stock Price
1.2%
Last Dividend: $1.16
Stock Price: $97.02
Payout Ratio (Earnings paid out as dividends)
HEX
Dividends Paid / Net Income
33.6%
Dividends Paid: -$601.00M
Net Income: $1.79B
Industry Benchmarks
Last run: Aug 16, 2026 12:14am
Compares NDAQ against LLM-researched typical ranges for its industry. One research call per industry, cached indefinitely — every stock in the same industry reuses the same baseline.
Income Statement (Annual)
Last updated: Aug 11, 2026 12:54pm (14d ago)
Metric 2021 2022 2023 2024 2025
Revenue $5.9B $6.2B $6.1B $7.4B $8.3B
Cost of Revenue $3.7B $3.9B $3.5B $4.4B $4.8B
Gross Profit $2.2B $2.3B $2.5B $3.0B $3.5B
Operating Expenses $673.0M $678.0M $740.0M $1.0B $1.1B
Operating Income $1.6B $1.7B $1.8B $1.9B $2.4B
Net Income $1.2B $1.1B $1.1B $1.1B $1.8B
EBITDA $2.0B $2.0B $2.2B $2.6B $3.1B
EPS $2.38 $2.28 $2.10 $1.94 $3.12
EPS (Diluted) $2.35 $2.26 $2.08 $1.93 $3.09
Balance Sheet (Annual)
Last updated: Aug 16, 2026 12:09am (9d ago)
Metric 2021 2022 2023 2024 2025
Cash & Equivalents $393.0M $502.0M $453.0M $592.0M $604.0M
Total Current Assets $7.4B $8.6B $9.1B $7.8B $8.0B
Total Assets $20.1B $20.9B $32.3B $30.4B $31.1B
Current Liabilities $7.9B $8.8B $9.0B $7.9B $8.0B
Long-Term Debt $4.8B $4.7B $10.2B $9.1B $8.6B
Total Liabilities $13.7B $14.7B $21.5B $19.2B $18.8B
Total Equity $6.4B $6.2B $10.8B $11.2B $12.2B
Retained Earnings $6.5B $7.2B $7.8B $8.4B $9.6B
Cash Flow (Annual)
Last updated: Aug 16, 2026 12:27am (9d ago)
Metric 2021 2022 2023 2024 2025
Operating Cash Flow $1.1B $1.7B $1.7B $1.9B $2.3B
Capital Expenditure -$163.0M -$152.0M -$158.0M -$207.0M -$266.0M
Free Cash Flow $920.0M $1.6B $1.5B $1.7B $2.0B
Acquisitions (net) -$2.4B -$41.0M -$5.8B $0 $0
Net Debt Issued / (Repaid) $4.1B $3.1B -$260.0M $476.0M -$826.0M
Dividends Paid -$350.0M -$383.0M -$441.0M -$541.0M -$601.0M
Stock Buybacks -$468.0M -$308.0M -$269.0M -$145.0M -$616.0M
Net Change in Cash -$483.0M $1.5B $124.0M -$2.1B -$1.1B
Growth Trends (YoY %)
Last updated: Aug 11, 2026 12:54pm (14d ago)
Metric 2022 2023 2024 2025
Revenue Growth +5.8% -2.6% +22.0% +11.6%
Gross Profit Growth +4.8% +8.8% +17.4% +16.7%
Operating Income Growth +6.5% +8.7% +7.9% +24.8%
Net Income Growth -5.2% -5.9% +5.5% +60.1%
EBITDA Growth -0.6% +14.1% +17.4% +20.5%
Dividend History (Last 20)
Last updated: Aug 11, 2026 12:54pm (14d ago)
Date Dividend Declaration Record Payment
2026-09-11 $0.31
2026-06-12 $0.31
2026-03-16 $0.27
2025-12-05 $0.27
2025-09-12 $0.27
2025-06-13 $0.27
2025-03-14 $0.24
2024-12-06 $0.24
2024-09-13 $0.24
2024-06-14 $0.24
2024-03-13 $0.22
2023-12-07 $0.22
2023-09-14 $0.22
2023-06-15 $0.22
2023-03-16 $0.20
2022-12-01 $0.20
2022-09-15 $0.20
2022-06-09 $0.20
2022-03-10 $0.18
2021-12-02 $0.18
0Company Classification 1Industry Landscape 2Company Momentum 3Forward Projection 4aDCF Valuation 4bEarnings Power Value 4cAnchored PE 4dReverse DCF 4eRevenue-Based DCF 4fAnchored P/S 4gScenario Analysis 4hDividend Discount Model 4iBook Value Analysis 4jInsider Activity 4fCash Flow Quality 4gDebt Maturity Risk 4hMacro Environment 4iSector Intelligence 4jRevenue Confidence 4kSensitivity Analysis 4lSector Demand Cycle 5AI Investigation 5bThesis Evaluation 6Valuation Synthesis
computed not applicable 18 computed · 6 not applicable
Risk : Reward — if the last quarter repeats
Live · as of 2026-08-23 02:58
-0.1 : 1 recovery upside vs repeat-quarter downside
Even the bull case prices 8% below today — the ratio here measures the model-vs-market gap, not payoff odds. Another quarter like the worst recent one costs 63%. Caveat: revenue-DCF fits financials poorly (reported revenue omits net interest) — treat the legs as rough.
CaseGrowthMarginFair valuevs price ($97.02)
Bull — recovery +24% 31.8% $89.30 -8%
Base — stabilizes +16% 27.7% $61.80 -36%
Bear — keeps slipping +8% 23.5% $41.62 -57%
Stress — last quarter repeats +2% 24.8% $35.83 -63%
The next quarters keep the trajectory of the worst recent matched quarter (ending 2026-03-31) — growth stays at 2.0% and margins bend by the same profit-vs-revenue ratio (×1.10). Stress is a trajectory, not a prediction — it answers "what if the ship's current heading simply continues," which history says is the case to respect.
Why this is appearing: this company files quarterly, so its recent trajectory could be measured rather than assumed — the engine matched Jun 2026, Mar 2026 against the same quarters one year earlier and found revenue +11.2% · operating income +22.8% · net income +21.1% year-over-year. That measured heading is what the stress case extends forward. Of those, the stress case extends the worst matched quarter — the one ending Mar 31, 2026 (revenue +2.0%, operating income +20.1% YoY) — not the average. Data measured through Jun 30, 2026 — this card recalculates automatically when the next quarterly filing is ingested. Companies without quarterly filings (many foreign listings) never show this card: with no measured trajectory, there is nothing honest to repeat.
Narrative Economics
The story the market is telling about this stock — the intangible X-factor (founder mythology, cult dynamics, TAM-of-imagination) that moves price beyond what cash flows alone explain. After Shiller, Narrative Economics.
No narrative profile yet for NDAQ — it's generated by the pipeline (market-narrative step).
AI Lens 4th lens · how AI reaches this business · 5-yr
2026-08-16
The creme is there an opportunity here? Conditional opportunity
Own it for the regulated plumbing and the compliance shield, but underwrite one thing: whether data revenue can be repriced to machines as human seats disappear.
At ai_position 70 with a 43-85 range, this is a favorable-but-not-settled name: AI arrives as message volume, data demand and a lower cost of delivering AxiomSL/Verafin obligations no bank will insource, which is why responsibility_transfer scores 85 and data_leverage 86. The bear leg is narrow and specific — revenue_unit_durability at 58 — per-professional-user data and analytics pricing levered to shrinking finance headcount, with fee filings limiting the offset. Watch professional subscriber counts alongside data revenue per client and any disclosed shift to enterprise/API/consumption licensing; that migration, not trading volumes, decides which end of the range this lands.
70
AI Position
Favorable - regulated plumbing plus a compliance shield
Cheaper intelligence mostly flows into Nasdaq's favor: it raises message traffic and data demand on infrastructure no one can legally reproduce, and it cuts delivery cost in a regtech/anti-crime franchise customers refuse to own themselves — with the per-human-seat market data unit as the real soft spot.
Exposure 58 Confidence 70 50 = neutral
Primary Tailwind

AI-driven trading and agentic analytics increase order flow, message volume, connectivity and demand for licensed proprietary order-book data — Nasdaq's transaction, colocation and data units scale with machine activity, not headcount. Simultaneously AI compresses the cost of building and servicing AxiomSL/Calypso/Verafin deliverables while regulatory willingness-to-pay is unchanged.

Primary Pressure

A meaningful slice of market data revenue is priced per professional user/display. If analyst, trader and sales headcount at banks and asset managers falls as agents do the reading, subscriber counts shrink even as raw data consumption rises — and regulators already resist repricing that gap away.

Critical Hinge

Whether Nasdaq successfully migrates data monetization from per-human-subscriber to enterprise/API/consumption licensing at equal or better economics. Observable: professional subscriber counts versus data revenue per client, and disclosed enterprise-license mix in Capital Access Platforms.

Hard to Reproduce

SEC/EU-regulated market operator status, the liquidity network effect and proprietary tape, exchange-grade surveillance and clearing certifications, and Verafin's cross-institution financial-crime consortium data — none of which cheap code confers.

Forensic fingerprint same 11 factors for every stock · 0 unfavorable · 50 neutral · 100 favorable
Underlying Need Persistence do people still need this at all? 93
Capital formation, price discovery, regulatory reporting and fraud prevention all persist regardless of intelligence cost.
Every Nasdaq revenue line answers a need that AI intensifies rather than removes: markets must clear, banks must file, criminals must be caught. AI-enabled fraud actively grows the anti-financial-crime need.
Listings pipeline and delistings balance · Regulatory reporting rule expansion · Fraud loss rates at member banks
relevance 80 · confidence 88
Solution Persistence will they still solve it this way? 78
Centralized regulated exchange and vendor-supplied compliance remain the practical answer; the data license form may change.
Matching and clearing stay centralized for liquidity and regulatory reasons; compliance stays outsourced for liability reasons. The vulnerable piece is delivery form of data and analytics, priced to human users.
Enterprise vs per-user data license mix · Off-exchange volume share · AxiomSL renewal rates
relevance 75 · confidence 72
Intelligence Commoditization does cheap AI power them or copy them? 68
Cheap AI powers Nasdaq's software margins more than it copies its regulated core, but it does erode software configuration moats.
Exchange licensing and consortium data cannot be commoditized by cheap models; Calypso-style enterprise risk software, where value sits in integration labour, can be partially undercut.
FinTech segment gross margin trend · New AI-native regtech entrants in RFPs · Implementation cycle times
relevance 70 · confidence 65
Responsibility Transfer are they paid to take the blame? 85
Nasdaq is paid substantially to absorb regulatory and surveillance blame no bank wants to own.
AxiomSL filings, trade surveillance and Verafin SAR workflows carry examiner-facing liability; an internally built AI equivalent shifts blame onto the customer, which is exactly why it doesn't get built.
Regulatory enforcement actions on clients · Attestation/audit features in product releases · Client insourcing announcements
relevance 85 · confidence 78
Scarcity Migration do their assets get rarer or more common? 82
Licences, liquidity and proprietary tape get relatively scarcer as software and analysis get abundant.
As machine analysis becomes free, the binding constraint becomes access to authoritative, licensed, timestamped market data and to a regulated venue — assets Nasdaq holds by statute and network effect.
Data revenue growth vs volume growth · New data/AI licensing agreements · Regulatory challenges to fee filings
relevance 85 · confidence 75
Customer DIY Preference will customers just build it themselves? 74
Banks can build analytics but will not build regulated filing engines or an exchange.
Tier-1 banks have the AI capability to replicate reporting logic; they lack appetite for owning the compliance vertical and cannot replicate consortium fraud data or a matching venue.
Large-bank insourcing of regulatory reporting · Verafin consortium institution count · Analytics seat cancellations at big clients
relevance 70 · confidence 70
AI Intermediation Position do AI agents go through them or around them? 76
Autonomous trading and compliance agents must route through Nasdaq's venue and licensed feeds, not around them.
An agent executing a trade still hits a regulated order book and still needs licensed real-time data; Nasdaq becomes the execution layer agents consume, though it may consume via API rather than paid human seats.
API/consumption revenue disclosure · Message traffic and colocation growth · Agentic-order-flow policy from SEC
relevance 75 · confidence 66
Data Leverage does their data make AI better? 86
Order-book history and the cross-institution financial-crime consortium make Nasdaq's models structurally better than any single customer's.
Verafin sees fraud patterns across thousands of institutions and Nasdaq owns decades of proprietary tape and surveillance signals; both are non-synthesizable training assets that improve with AI, not despite it.
Verafin cross-institutional detection metrics · Historical data licensing deals · Surveillance product win rates
relevance 85 · confidence 78
AI Margin Conversion do the AI savings become profit? 66
Operating leverage is real in service and engineering cost, but competitive pressure in software may recycle some of it.
Operating margin already rebuilt to ~29% on 8.3B revenue with FCF near 2.0B; AI cuts implementation, support and surveillance-review labour, though regulated fee filings cap price-side capture.
Operating margin vs headcount growth · Services vs subscription revenue mix · Implementation cost per deployment
relevance 75 · confidence 62
Revenue Unit Durability does the thing they charge for survive? 58
Volume-based and ARR units look durable; the per-professional-user data unit is the exposed one.
Transaction and clearing revenue scale with machine activity, but market data and analytics priced per display/seat are directly levered to shrinking human headcount in finance.
Professional subscriber counts · Data revenue per client trend · Index licensing basis-point compression
relevance 85 · confidence 63
Entrant Compression how easily can newcomers copy them? 74
Cheap code does not create a licensed exchange or a fraud consortium, but it does lower the bar in enterprise risk software.
Regulatory approval, liquidity bootstrapping and clearing certification remain the barriers AI cannot compress; AI-native challengers can nevertheless attack Calypso-adjacent workflow software with far less capital.
New venue or ATS approvals · AI-native regtech funding and wins · Competitive pricing in risk software
relevance 70 · confidence 72

AI Lens thesis

Nasdaq is three different AI stories stapled together. The exchange itself is near-insulated in the ABNB sense: matching, clearing and regulated listing status are licence-and-network assets, and more machine intelligence in the market means more messages, more colocation, more data licences — AI arrives as volume, not substitution. The Financial Technology segment is a PAYC-type shield: AxiomSL regulatory reporting and Calypso risk/treasury workflows are legally exhaustive and liability-bearing, so even a technically capable internal LLM build is unattractive because no bank wants to own the regulatory-filing blame; meanwhile AI cuts Nasdaq's own implementation and support cost, the most labour-heavy part of that P&L. Verafin is the genuinely AI-accelerated asset — consortium fraud data across thousands of institutions makes its models better than any single bank's, and AI-enabled fraud and deepfake payment scams expand the addressable problem it is hired to absorb. The exposure that actually matters is the monetized unit in market data and index/analytics: per-user, per-display and per-seat pricing is levered to shrinking human seat counts in finance, and regulatory scrutiny of data fees limits Nasdaq's ability to reprice. Net: the scarce assets get scarcer, the cost base gets cheaper, and the risk is unit-of-charge migration rather than displacement.

Thesis breaker Two consecutive years of declining professional data subscribers with flat-to-down total data revenue would confirm the seat-erosion channel; conversely, AxiomSL/Calypso ARR decelerating on competitive losses to AI-native regtech would break the shield leg.
What the market may be underestimating

Upside Licensing full-depth historical and real-time exchange data for model training and agent execution is a new, high-margin unit priced to machines rather than to humans — and Nasdaq controls a dataset that cannot be synthesized.

Downside Calypso and parts of the analytics stack are configurable enterprise software where AI collapses implementation cost — the differentiator there is integration labour, exactly what cheap coding erodes, so ARR quality inside FinTech may be more mixed than the segment's headline growth suggests.

Outcome range spread 42

43Bear case
70Central case
85Bull case
Three headline numbers, deliberately never blended: Position (which way), Exposure (how much it matters at all), Confidence (how sure). The fingerprint asks every stock the same 11 questions so companies a sector label would lump together get told apart. Not an input to GEM/Coal or the Q/V/S lenses.
Growth Outlook
Analyzed 2026-08-17 16:33

The question every valuation on this page silently assumes: is this company likely to grow? Judged forward — the business, its category, the world — against what's already printed.

Growing Nasdaq is compounding mid-teens revenue and faster earnings on a recurring-revenue base (index licensing, FinTech ARR, data) while outgrowing its expanding category by ~5pp — durable Growing, not Accelerating, once Adenza cross-sell and deleveraging tailwinds normalize. conf 8/10
Share gain Category growing · Category (Financial Data & Stock Exchanges) is expanding — ~9.4% 3-yr industry revenue CAGR, category median recent growth ~7.5%, margins widening industry-wide. Nasdaq's recent 11.7% YoY sits ~4.7pp above the industry, and the excess is traceable to identifiable non-tide drivers (FinTech ARR/Adenza cross-sell, index licensing), not just volume beta.
Next 2 quarters
Growing
Recurring ARR and index licensing carry the base; the Adenza cost/amortization lap and lower deal expense keep EPS growth ahead of revenue growth for at least two more prints. Volumes are the swing factor, but the recurring mix now dominates.
↑ above expectations
Year 1
Growing
Full-year shape: mid-to-high single digit organic revenue with FinTech ARR at or above the fast end, index revenue scaling with AUM, and continued margin expansion plus deleveraging producing low-teens EPS growth. Comparisons get harder as the Adenza integration benefit normalizes.
≈ inline with expectations
Years 2–3
Growing
Structural earnings power grows: ~80%+ of revenue is recurring or annuity-like (data, listings, index, SaaS), switching costs are high, and the compliance/surveillance demand curve is secular. But the growth RATE should ease from recent mid-teens toward high-single-digit revenue / low-double-digit EPS as the acquisition uplift laps and index fee rates compress — Growing, not Accelerating.
— expectations unclear
The creme: each rung's call measured against what's already printed (vs analyst estimates · vs guidance / FY consensus · vs price-implied growth) — expectations in print are already in the price, so only the variant margin can pay. Hover a rung's chip for the margin read.
Growth drivers
69 FinTech ARR + Adenza cross-sell — Calypso/AxiomSL/Verafin sit inside bank risk, regulatory-reporting and financial-crime workflows — multi-year, contracted, high-retention spend that is being cross-sold into an installed base of large institutions. This is the engine turning exchange cyclicality into recurring double-digit ARR growth and is the single biggest reason company growth (11.7%) exceeds industry (6.9%).
53 Index/AUM-linked licensing compounds with passive flows — Nasdaq-100-linked ETFs and futures licensing scale with passive AUM — the very trend the bear case calls a headwind is a revenue driver here. Growth arrives without incremental cost, so it flows disproportionately to operating income (consistent with recent earnings YoY far above revenue YoY).
38 Pricing power on captive data/listings base — Issuers and market-data subscribers face high switching costs; annual price/tiering increases plus index-membership stickiness deliver a low-single-digit base escalator before any volume or new-product contribution.
38 Operating leverage and post-Adenza deleveraging — Deal/integration costs lapping plus debt paydown mechanically push EPS growth above revenue growth for another several quarters; the +60% recent earnings YoY is partly this mechanism, which persists but decays.
35 Category expansion confirmed — Industry revenue CAGR ~9.4% with margins up 2.7pp industry-wide — the tide is rising, and Nasdaq is gaining share within it rather than merely riding it.
Growth risks
32 Market Services depends on volatility/volume — Cash equities and derivatives volumes are the most cyclical line; a low-volatility, low-volume stretch removes the easiest growth contributor and makes reported growth lumpy quarter to quarter.
29 Regulatory pressure on data and access fees — Market-data fee filings and exchange access/rebate economics are perennially contested. A adverse structural ruling would cap the pricing escalator that underwrites the 'utility with pricing power' thesis.
27 Enterprise software competition and in-house build — Bank tech budgets are consolidating; incumbents and in-house builds can slow FinTech ARR to high-single digits. Sales cycles are long and lumpy, so a couple of slipped large deals visibly dents the growth premium.
19 Index competition and fee compression — S&P, MSCI and FTSE compete hard for ETF mandates; index licensing fee rates trend down over time even as AUM grows, muting the AUM tailwind.
13 Non-operating charge volatility — The 2025-11 print of -0.62 vs +0.56 estimate shows reported EPS can be swamped by one-time items (impairment/tax/mark). Doesn't change earnings power but breaks the clean beat cadence.
The world is pushing more compliance, surveillance and risk-reporting obligations onto banks while trading migrates into electronic, data-hungry, index-linked structures — both currents route revenue toward Nasdaq's franchise rather than around it. Passive investing, the bear's supposed threat, is a licensing tailwind. The real world-level constraints are political: regulators periodically challenge market-data and access pricing, and a macro-headwind backdrop (10y ~4.63%, macro flagged as headwind) can keep the IPO window narrow and bank tech budgets tight, which trims the fastest lines rather than reversing them. Net: structurally supported growth, cyclically modulated.
Growth position composite +48
ShrinkingStallingHoldingGrowingAccelerating
70Next 2 quarters · Growing
70Year 1 · Growing
70Years 2–3 · Growing
+48Composite (−100…+100)
A research prediction, not advice. Forward-graded: each rung is scored against the prints that follow it. Not an input to the GEM designation — track record first.
Claude Reading
Independent analyst synthesis · claude-opus-4-7 · generated 2026-08-16 00:26:49
Verdict Overvalued but not egregiously — fair value $75-82 vs synthesis's $66; the Q2 revenue jump with margin compression is the key unresolved question, and current $97 prices in a clean resolution that isn't guaranteed. Wait for Q3 print before committing either direction; no chase here.

Looking at the raw quarterly print first: Q2 2026 revenue of $2.53B is a genuine step-function jump from a stable ~$2.10B run-rate that held for four straight quarters (Q1 2025 through Q1 2026). That's an 18% sequential jump — either a real acceleration (Adenza cross-sell hitting, Financial Technology division scaling) or a one-off (acquisition close, calendar quirk, market volatility spike). Net income actually dropped to $507M on higher revenue, so the 20% margin is 430bps below the prior quarter's 24.3% — the incremental revenue came in at low/negative marginal margin. That is a red flag the synthesis buries. Either mix shifted toward lower-margin tech services (bullish long-term, dilutive near-term) or there's integration/one-time drag. Either way, the "60% earnings YoY" figure the momentum model cites is flattered by a soft 2024 comp (Q2 2024 NI ~$300M range) and doesn't reflect the sequential margin compression happening right now.

On valuation, the synthesis DCF-anchored $66 fair value looks defensible but probably too harsh. Trailing FCF is $1.99B; on $54B market cap that's a 3.7% FCF yield, and with FCF growing at the 13.7% CAGR cited, an owner-earnings framework gets you closer to $75-80, not $66. However, 31x PE against CME at ~20x and ICE at ~24x is a real premium that requires the FinTech/Adenza thesis to compound at MSCI-like rates (12%+) for years — and the bear thesis is right that the index business faces entrenched competition and trading revenue is structurally soft. ROIC of 9.8% against a cost of capital probably in the 8-9% range means Nasdaq is barely creating economic value on incremental capital post-Adenza; the $9B debt load (0.74 D/E, current ratio 1.005 — thin) constrains further M&A optionality. This is not a business that deserves a growth multiple; it deserves a quality-utility multiple, which is closer to 22-25x, implying $75-85.

The insider signal is being misread by the "Net Insider Buying" tag. Two P-Purchase entries of 56,782 shares on June 11, 2026 look like a single transaction double-counted or a Form 4 filing artifact — and they're swamped by six S-Sales in July/August 2026 totaling ~46,000 shares at what were presumably higher prices. The pattern is insiders distributing after a run, not accumulating. The thesis evaluation score of -10 (nearly balanced bull/bear) is more honest than the synthesis's confident "overvalued -32%" call. I partially agree with the synthesis direction but think the magnitude is overstated — fair value is $75-82, not $66, making current $97 roughly 15-25% overvalued, not 32%.

The contrarian argument worth taking seriously: if Q2 2026's revenue jump is the start of a new plateau (not a blip), and the margin compression is Adenza integration noise that reverses in 2-3 quarters, then run-rate revenue of $10B+ with normalized 24% margins gets you to $2.4B in earnings, and 25x that is $60B market cap — basically here. So the bull needs the Q3 print to confirm ~$2.5B revenue with margins rebuilding toward 22-24%. If Q3 comes in at $2.2B and margins stay at 20%, the -32% synthesis view wins fast. I'd wait for the Q3 print before shorting, and I would not chase at $97. The stock is priced for the bull case to be right on both revenue durability AND margin recovery — an AND condition the market is treating as a near-certainty. That asymmetry favors the skeptic, but not with table-pounding conviction given the quality of the underlying franchise.

GPT Reading
Independent reading · gpt-5.4 · generated 2026-08-16 00:27:03
Verdict Slightly overvalued at $97 — a very good business, but fair value looks closer to $80-$85 unless >24% net margins and $2.3B+ annualized FCF prove durable.

Nasdaq’s raw numbers are better than the stock’s skeptical models give credit for, but not better enough to justify paying nearly $100. The business has clearly stepped up a level: annual revenue went from $6.06B in 2023 to $7.40B in 2024 and $8.26B in 2025, while operating income rose from $1.81B to $1.95B to $2.43B. That is not a stagnant exchange utility. The quarterly run-rate now sits above $9B annualized, with 2026 Q2 revenue at $2.53B, up from $2.10B a year earlier, and net income of $507M versus $452M. Even more important, margin progression is real: annual net margin improved from 17.5% in 2024 to 21.6% in 2025, and quarterly net margins have held mostly in the low-to-mid 20s since late 2025 versus mid-teens in late 2024. Free cash flow of $1.99B on $8.26B of revenue is a strong 24% conversion profile for a company with only $266M of capex. This is a very high-quality cash compounder with tangible operating leverage.

What stands out to me is that the market is treating that quality as if it has become a durable double-digit organic growth platform, and the reported numbers alone do not prove that yet. At $54.2B market cap, investors are paying about 27x 2025 free cash flow, 31x earnings, 6.8x sales, and over 20x EBITDA for a company whose core economics are excellent but whose returns on capital are not “software monopoly” caliber: ROIC is 9.8% and ROE 14.6%. Those are good, not elite. The balance sheet also matters more than bulls admit. Debt is $9.0B against just $604M of cash, so net debt is roughly $8.4B; enterprise value is therefore meaningfully higher than the equity quote suggests. For a business producing about $2.26B of operating cash flow, that leverage is manageable, but it limits the room for valuation fantasy. When a mature financial infrastructure name trades near 7.7x EV/revenue and 20.3x EV/EBITDA, I want to see either clearer evidence of sustainably faster growth or higher returns than this.

The strongest fact pattern in the stock is not that Nasdaq is weak; it is that it has genuinely improved. The jump in net income from $1.12B in 2024 to $1.79B in 2025 is enormous, and first-half 2026 net income of $1.03B implies another year that should land above $2.0B if trends hold. Recent quarterly revenue growth of about 12% and earnings growth of 60% are exactly the sort of numbers that make a premium multiple look rational at first glance. There is also some support from insider activity: amid several routine sales, there were two sizable June purchases totaling 113,564 shares, which is more interesting than the machine-readable “net insider buying” label alone. If the company is indeed shifting mix toward more recurring, less cyclical, higher-value data and workflow revenue, today’s multiples may be less outrageous than they look against legacy exchange comps.

But I still come back to price versus what is actually in hand. The annual history from 2021 to 2025 is solid, yet not linear enough to justify assuming a straight-line rerating into a premium information-services multiple. Revenue was $6.23B in 2022, then dipped to $6.06B in 2023 before reaccelerating, and net income was $1.19B in 2021, $1.13B in 2022, $1.06B in 2023, then surged. That pattern tells me part of the recent improvement is cyclical and integration-related rather than cleanly structural. The latest quarter also hints at some lumpiness: Q2 2026 revenue jumped to $2.53B, but net income of $507M was slightly below Q1’s $519M despite much higher sales, with margin dropping from 24.3% to 20.0%. That does not break the thesis, but it does argue against giving the company a frictionless “high-quality compounding SaaS” valuation. For me, fair value is closer to the low-to-mid $80s, where 2025 earnings and cash flow would still command a healthy premium for resilience and moat without assuming near-perfect execution.

What would change my mind is simple. If the next two quarters show revenue sustaining above $2.4B with net margin consistently above 24%, and if annualized free cash flow moves through $2.3B while debt trends down meaningfully from $9.0B, I would accept that the business deserves a premium closer to the current price or even above $100. On the other side, if growth falls back toward mid-single digits, margins slip back near 20%, or integration/leverage starts crowding out cash returns, the market will struggle to defend more than roughly 24-26x earnings, which points much closer to the modelled downside than bulls want to admit.

Grok Reading
Independent reading · grok-4.5 · generated 2026-08-16 00:27:42
Verdict Overvalued at $97 vs ~$66–75 fundamental value; 31x PE and 3.7% FCF yield price perfection on the tech-mix shift

The numbers describe a real operational step-change, not a narrative mirage. Annual revenue climbed from $6.06B in 2023 to $7.40B in 2024 and $8.26B in 2025, with net income leaping from $1.12B to $1.79B as net margin expanded from the mid-teens into the low-to-mid twenties. Free cash flow of $1.99B on only $266M of capex confirms the cash-conversion quality of the franchise. The latest quarter, however, is the tell: revenue spiked to $2.53B from a run-rate near $2.1B, yet the net margin compressed to 20% from 24% the prior two quarters. That mix or cost absorption is exactly what you would expect if Adenza-driven tech revenue is scaling while integration and go-to-market spend are still elevated. At $97 and 31.4x trailing earnings, 6.8x sales, and 20.3x EV/EBITDA, the market is capitalizing the company as if the higher-margin technology mix is already durable and the 30% earnings CAGR can be extrapolated. A 3.7% FCF yield and ROIC of 9.8% do not support that multiple for a still-levered balance sheet carrying $9.0B of debt against $604M of cash.

The quantitative models’ ~$66 fair-value anchor is directionally right even if the precise DCF is debatable. Peer exchange operators trade closer to the low-to-mid 20s on earnings; Nasdaq’s premium is almost entirely the optionality premium on data, index, and financial-crime software becoming a majority of economics. Recent revenue growth of roughly 12% year-over-year and a longer 16.7% revenue CAGR are solid, but they are not SaaS-compounder growth once you strip the volatility and M&A contribution. Net margin at 21–24% is already healthy for the category; further expansion is possible but not infinite under regulatory scrutiny of market-data pricing and index competition from MSCI and S&P. The stock is therefore pricing flawless execution of the “exchange-to-tech-platform” story at a level that leaves little room for a normal mid-cycle slowdown.

The strongest counter-case is straightforward and quantitative. Earnings CAGR near 30%, accelerating quarterly revenue, and high-confidence FCF quality argue the multiple can compress through growth rather than through a price decline. Large open-market purchases totaling over 113k shares in June 2026 sit against a string of smaller sales and undercut a pure insider-distribution read. If the technology and solutions segments continue to outgrow the transaction businesses and push group operating margin sustainably above 30% while organic growth holds in the low double digits, a mid-20s to low-30s earnings multiple becomes defensible rather than heroic. The platform-moat narrative is not fiction: listings, surveillance, and certain data feeds retain pricing power that pure software peers lack. A bull who believes Adenza monetization and AI/compliance upsell can deliver another leg of 15%+ growth for three-plus years can justify holding near $97; the data simply do not yet prove that trajectory is locked in.

I would reverse to neutral or constructive on a clean print of sequential margin re-expansion above 24% net alongside organic revenue growth still above 10% for two consecutive quarters, or on clear disclosure that recurring software and data already exceed half of revenue at peer-or-better retention. A sustained break of peer relative multiples without earnings disappointment, or net leverage falling meaningfully below 3x EBITDA while FCF stays near $2B, would also force a re-rating of the risk/reward. Until then the asymmetry favors the downside toward the mid-60s to mid-70s fundamental zone.

Big-3 Panel — where each AI stands
Each AI above independently stated a direction (undervalued, fairly valued, or overvalued) and how strongly it believes it (conviction, 0–5). We combine those into a Bull-Bear Index on a 0–10 scale: 5 is neutral, 10 is maximum bullish (undervalued at full conviction), 0 is maximum bearish. We compute the score ourselves with the same arithmetic for every seat — the models never grade their own bullishness — so the three are directly comparable. Δ shows how far each seat sits from the panel average of 1.7; a large Δ marks the dissenting voice, usually the one worth reading.
Claude claude-opus-4-7 2.0
overvalued · conviction 3/5 · Δ +0.3 vs panel · self: 3.0
GPT gpt-5.4 2.0
overvalued · conviction 3/5 · Δ +0.3 vs panel · self: 4.0
Grok grok-4.5 1.0
overvalued · conviction 4/5 · Δ -0.7 vs panel · self: 3.0
Advanced Analysis Forensic deep-dive · separate lenses
Separate reads — Company Quality (is it a great business?), Valuation (is it mispriced?), and General Sentiment (how macro + narrative are pushing it), plus AI Impact (how the AI wave reshapes it), kept deliberately apart · 2026-08-16 00:36:28
Delvantic - Cairn AI
Quality - wait for a dip in the high-$70s 7/10
NDAQ is a genuinely strong financial-plumbing franchise, but at $97 it is priced 25-30% above deserved value with no margin of safety - wait for a dip.
The cruxWhether the market keeps paying the platform-monopoly premium (composite FV mid-60s vs $97 tape) - a re-rate toward the high-$70s is where the quality actually becomes buyable.
Forensic checks Derived mechanically from NDAQ's filed financials — not from the AI lenses
Liquidity & RunwaySelf-Funding
Earnings QualityHigh Earnings Quality
The four lensesswitch a tab for its full read — score + evidence
Company Quality
+51
Strong
edge √Σ 138 · risk √Σ 81 · conf 8/10

Revenue has compounded from $5.89B in 2021 to $8.26B in 2025 (about 8.8% CAGR), with operating margins holding in a 26-30% band and 2025 landing at 29.4% - the high end of the range. Net income jumped to $1.79B in 2025 from roughly $1.06-1.19B in the prior four years, and FCF has stepped up every year to $1.99B, with OCF/NI at 1.41x and accruals at -1.7% of assets - all consistent with high earnings quality (Beneish M -2.53 confirms). This is the profile of a mature, moaty financial-data and exchange franchise generating real cash.

Strengths 4
m78
Clean earnings quality
OCF/NI 1.41x, accruals -1.7% of assets, Beneish M -2.53. Reported earnings are backed by cash, not accrual manufacturing.
m72
Consistent FCF growth
FCF climbed $920M -> $1.55B -> $1.54B -> $1.73B -> $1.99B across 2021-2025, comfortably self-funding with no external capital need.
m68
Margin expansion in 2025
Gross margin 42.2% and operating margin 29.4% in 2025 are cycle highs, and net income jumped ~60% YoY to $1.79B - operating leverage on the Adenza/data-mix shift is showing up.
m55
Strategic holder buying
Investor AB and Innax AB each purchased 56.8K shares (~$4.9M) on 2026-06-11 in open-market P-purchases - a meaningful vote from a long-term strategic holder.
Concerns 3
m62
Leveraged balance sheet
Net debt ~$8.4B vs only $604M liquid cash; Altman Z 2.68 sits in the grey zone. The balance sheet is a constraint, not a cushion, until deleveraging plays out.
m42
Share count step-up
Diluted shares rose from ~505M (2021) to ~579M (2024-2025), about 14% - largely Adenza deal consideration. Flat 2024->2025 suggests it was a one-time event rather than ongoing dilution, but per-share base is permanently higher.
m30
Insider selling outpaces buying in dollars from officers
Recent tape shows repeated S-Sales from Griggs, Smith, Peterson totaling several $M; officer-level activity skews to distribution even though the aggregate 12-month net is positive due to institutional purchases.
This is a high-quality financial infrastructure business - the kind of franchise (exchange, index/data, regtech) that generates predictable cash and has real switching costs. Earnings integrity looks clean by every mechanical check, and 2025's margin and FCF step-up is encouraging. The honest wart is leverage: they paid up for Adenza with both debt and stock, and until net debt comes down the balance sheet caps how bulletproof I can call it. Not a fortress today, but a legitimately strong, well-run business trending the right way.
Verify before trusting this (6)
  • Debt maturity ladder and covenants post-Adenza; pace of deleveraging
  • Organic vs acquired revenue growth split in 2024-2025 (how much of the step-up is Adenza)
  • Segment mix: recurring/SaaS revenue share vs transaction/listings
  • Customer concentration in Financial Technology / Adenza segment
  • Buyback cadence vs SBC to confirm dilution is contained going forward
  • Any goodwill/intangible balances and impairment risk from Adenza
Valuation / Mispricing
-67
Rich
edge √Σ 25 · risk √Σ 107 · conf 7/10
Price $97 vs deserved ~$66-75, roughly 25-30% overpriced - no margin of safety. attractive below $78.00

Price is $97.02 against a composite fair value of $66.06 and a signal-adjusted FV of $65.59, implying roughly -32% downside if the model is right. The DCF ($65.26) and EPV floor ($29.03) both sit well below the market, and only the anchored-P/E ($104.67) supports today's tape - and that method essentially extrapolates the current multiple, which is circular. Triangulating, deserved value likely sits in the $65-80 range even after crediting the Strong quality grade and clean earnings; $97 requires the platform-monopoly bull (durable pricing power on data, Adenza cross-sell, sustained double-digit SolutionsBusiness growth) to keep compounding without regulatory or competitive friction. That is a lot of good news already in the price. Earnings quality is high (score 2) so no haircut is warranted there, but leverage from the Adenza deal argues against paying a premium multiple - equity holders are junior to a meaningful debt stack that still needs to be worked down. Net: this is a great business at a full-to-rich price, which is exactly the setup that scores below fair on a mispricing lens.

Cheap signals 1
m25
Quality and earnings integrity deserve a premium
Strong franchise (score 51) with clean earnings quality (score 2) justifies paying above a mechanical DCF - but that lifts deserved value into the $70s, not to $97.
Rich / priced-in 4
m70
Composite FV ~32% below price
Signal-adjusted FV of $65.59 vs $97.02 price implies the market is paying ~48% above the blended deserved value.
m60
DCF and EPV both say expensive
DCF $65.26 and EPV floor $29.03 bracket a deserved value well under $70; only the anchored-P/E ($104.67) supports the tape and that method just echoes the current multiple.
m45
Priced for platform-monopoly narrative to fully deliver
At $54B market cap the market has largely accepted the bull case on data pricing power and Adenza synergies; any regulatory cap on data fees or SolutionsBusiness growth deceleration would compress the multiple.
m30
Leverage overhang argues against paying up
Post-Adenza net debt means equity holders bear more risk; a levered balance sheet typically warrants a lower, not higher, multiple until deleveraging plays out.
I like the business but I do not like the price. Composite FV in the mid-60s versus a $97 print gives me zero margin of safety and a ~30% air pocket if the platform-monopoly story stumbles. I would want it in the high-70s before it becomes interesting, and closer to $70 to get genuinely excited. Today it is a hold-or-trim on valuation grounds, not a buy.
Verify before trusting this (4)
  • Organic growth rate of SolutionsBusiness ex-Adenza in latest 10-Q
  • Net debt trajectory and deleveraging pace vs management targets
  • Data and listing pricing power - any signs of customer pushback or regulatory scrutiny
  • Free cash flow conversion sustainability of the 2025 step-up
General Sentiment
+24
Tailwind
tail √Σ 76 · head √Σ 52 · conf 6/10

The macro tape is mildly supportive: VIX at 14.3 and S&P near highs is exactly the environment where 'boring plumbing' compounders like NDAQ get bid as quality-at-a-price. With beta ~0.97 the market tape lands roughly at index intensity - no amplification either way - so the risk-on regime is a modest tailwind, not a decisive one. The 10y at 4.63% and a 26x market PE are a mild valuation-multiple headwind for a name already trading at a 48% premium to DCF, but nothing in the tape is actively pressing it lower today. The active narrative is the real story: NDAQ is framed as an irreplaceable platform-monopoly with pricing power, AI/compliance optionality, and 'last mile of finance' mythology. Intensity and durability are moderate and cult is low - so no mania, but also no crack. That is a persistent low-grade tailwind: the market keeps paying up for the story, and there is no visible catalyst forcing a re-rate. Momentum confirms the picture without screaming: 16.7% long-term CAGR and +4.2pp over three years is a name in favor, though the recent 11.7% deceleration hints the narrative is maturing rather than accelerating. Net: gentle, durable push higher, not a euphoric one.

Tailwinds 3
m55
Platform-monopoly narrative intact
The 'irreplaceable plumbing + pricing power + AI optionality' story is the reason NDAQ trades 48% above DCF, and with moderate durability and no visible crack, it keeps supporting the multiple.
m40
Risk-on tape suits quality compounders
VIX 14 and indices near highs is the regime where steady, high-margin exchange/data names get bid; beta ~0.97 means NDAQ participates without being whipped.
m35
Positive momentum still in force
16.7% long-term CAGR and outperformance over 3y signals the tape is on this name's side; flows and trend followers are aligned even if the pace is cooling.
Headwinds 3
m35
Rates/multiple pressure on premium name
10y at 4.63% and a 26x market PE quietly cap how much further a 48%-premium 'utility with optionality' can re-rate; any macro wobble hits premium multiples first.
m30
Momentum decelerating
Recent 11.7% vs 16.7% long-term is a soft signal the narrative is maturing; not a break, but the easy sentiment lift is fading.
m25
Low cult, moderate intensity - no upside squeeze
There is no fervent buyer base to force a melt-up; the story is respected, not loved, which caps how much sentiment alone can add from here.
My read: this is a gentle, persistent tailwind, not a strong one. The tape is calm and risk-on, the platform-monopoly narrative is intact but not euphoric, and beta near 1 means nothing exotic is happening to this name relative to the market. The offsets - a premium multiple against 4.6% rates and cooling recent momentum - keep it from being a Strong Tailwind. Net leans up, but sentiment alone is not going to do heavy lifting here; it is doing just enough to keep the premium in place.
Verify before trusting this (4)
  • Any regulatory headline on exchange data-fee pricing - the single cleanest way the bull narrative cracks
  • Sell-side target revisions or downgrades citing 'priced for perfection' - would flip tone quickly
  • A VIX spike or sharp curve move that pressures premium-multiple financials as a group
  • Trading-volume or listings data prints that undercut the pricing-power story
The market-wide tape + this name's exposure to it (beta / sector / narrative durability). Context on the non-fundamental pressure — not a call on the business or the price. processId: detail-general-sentiment
AI Impact
+54
Favorable - regulated plumbing plus a compliance shield
opp √Σ 148 · thr √Σ 0 · conf 7/10

Nasdaq is three different AI stories stapled together. The exchange itself is near-insulated in the ABNB sense: matching, clearing and regulated listing status are licence-and-network assets, and more machine intelligence in the market means more messages, more colocation, more data licences — AI arrives as volume, not substitution. The Financial Technology segment is a PAYC-type shield: AxiomSL regulatory reporting and Calypso risk/treasury workflows are legally exhaustive and liability-bearing, so even a technically capable internal LLM build is unattractive because no bank wants to own the regulatory-filing blame; meanwhile AI cuts Nasdaq's own implementation and support cost, the most labour-heavy part of that P&L. Verafin is the genuinely AI-accelerated asset — consortium fraud data across thousands of institutions makes its models better than any single bank's, and AI-enabled fraud and deepfake payment scams expand the addressable problem it is hired to absorb. The exposure that actually matters is the monetized unit in market data and index/analytics: per-user, per-display and per-seat pricing is levered to shrinking human seat counts in finance, and regulatory scrutiny of data fees limits Nasdaq's ability to reprice. Net: the scarce assets get scarcer, the cost base gets cheaper, and the risk is unit-of-charge migration rather than displacement.

AI opportunities 10
m69
Underlying Need Persistence
Capital formation, price discovery, regulatory reporting and fraud prevention all persist regardless of intelligence cost.
m42
Solution Persistence
Centralized regulated exchange and vendor-supplied compliance remain the practical answer; the data license form may change.
m25
Intelligence Commoditization
Cheap AI powers Nasdaq's software margins more than it copies its regulated core, but it does erode software configuration moats.
m60
Responsibility Transfer
Nasdaq is paid substantially to absorb regulatory and surveillance blame no bank wants to own.
m54
Scarcity Migration
Licences, liquidity and proprietary tape get relatively scarcer as software and analysis get abundant.
m34
Customer DIY Preference
Banks can build analytics but will not build regulated filing engines or an exchange.
m39
AI Intermediation Position
Autonomous trading and compliance agents must route through Nasdaq's venue and licensed feeds, not around them.
m61
Data Leverage
Order-book history and the cross-institution financial-crime consortium make Nasdaq's models structurally better than any single customer's.
m24
AI Margin Conversion
Operating leverage is real in service and engineering cost, but competitive pressure in software may recycle some of it.
m34
Entrant Compression
Cheap code does not create a licensed exchange or a fraud consortium, but it does lower the bar in enterprise risk software.
AI threats 0

None surfaced.

Own it for the regulated plumbing and the compliance shield, but underwrite one thing: whether data revenue can be repriced to machines as human seats disappear. At ai_position 70 with a 43-85 range, this is a favorable-but-not-settled name: AI arrives as message volume, data demand and a lower cost of delivering AxiomSL/Verafin obligations no bank will insource, which is why responsibility_transfer scores 85 and data_leverage 86. The bear leg is narrow and specific — revenue_unit_durability at 58 — per-professional-user data and analytics pricing levered to shrinking finance headcount, with fee filings limiting the offset. Watch professional subscriber counts alongside data revenue per client and any disclosed shift to enterprise/API/consumption licensing; that migration, not trading volumes, decides which end of the range this lands.
Verify before trusting this (8)
  • Regulatory enforcement actions on clients
  • Attestation/audit features in product releases
  • Client insourcing announcements
  • Data revenue growth vs volume growth
  • New data/AI licensing agreements
  • Regulatory challenges to fee filings
  • Verafin cross-institutional detection metrics
  • Historical data licensing deals
The structural effect of the AI wave on this specific business over the next ~5 years — demand, cost leverage, moat, barriers to entry, position in the AI stack. The reality beneath the AI story, not the story's market pressure (General Sentiment owns that) — and not a call on the business today or the price.
Growth Outlook
+48
Growing
edge √Σ 108 · risk √Σ 56 · conf 8/10

The world is pushing more compliance, surveillance and risk-reporting obligations onto banks while trading migrates into electronic, data-hungry, index-linked structures — both currents route revenue toward Nasdaq's franchise rather than around it. Passive investing, the bear's supposed threat, is a licensing tailwind. The real world-level constraints are political: regulators periodically challenge market-data and access pricing, and a macro-headwind backdrop (10y ~4.63%, macro flagged as headwind) can keep the IPO window narrow and bank tech budgets tight, which trims the fastest lines rather than reversing them. Net: structurally supported growth, cyclically modulated.

Growth drivers 5
m69
FinTech ARR + Adenza cross-sell
Calypso/AxiomSL/Verafin sit inside bank risk, regulatory-reporting and financial-crime workflows — multi-year, contracted, high-retention spend that is being cross-sold into an installed base of large institutions. This is the engine turning exchange cyclicality into recurring double-digit ARR growth and is the single biggest reason company growth (11.7%) exceeds industry (6.9%).
m53
Index/AUM-linked licensing compounds with passive flows
Nasdaq-100-linked ETFs and futures licensing scale with passive AUM — the very trend the bear case calls a headwind is a revenue driver here. Growth arrives without incremental cost, so it flows disproportionately to operating income (consistent with recent earnings YoY far above revenue YoY).
m38
Pricing power on captive data/listings base
Issuers and market-data subscribers face high switching costs; annual price/tiering increases plus index-membership stickiness deliver a low-single-digit base escalator before any volume or new-product contribution.
m38
Operating leverage and post-Adenza deleveraging
Deal/integration costs lapping plus debt paydown mechanically push EPS growth above revenue growth for another several quarters; the +60% recent earnings YoY is partly this mechanism, which persists but decays.
m35
Category expansion confirmed
Industry revenue CAGR ~9.4% with margins up 2.7pp industry-wide — the tide is rising, and Nasdaq is gaining share within it rather than merely riding it.
Growth risks 5
m32
Market Services depends on volatility/volume
Cash equities and derivatives volumes are the most cyclical line; a low-volatility, low-volume stretch removes the easiest growth contributor and makes reported growth lumpy quarter to quarter.
m29
Regulatory pressure on data and access fees
Market-data fee filings and exchange access/rebate economics are perennially contested. A adverse structural ruling would cap the pricing escalator that underwrites the 'utility with pricing power' thesis.
m27
Enterprise software competition and in-house build
Bank tech budgets are consolidating; incumbents and in-house builds can slow FinTech ARR to high-single digits. Sales cycles are long and lumpy, so a couple of slipped large deals visibly dents the growth premium.
m19
Index competition and fee compression
S&P, MSCI and FTSE compete hard for ETF mandates; index licensing fee rates trend down over time even as AUM grows, muting the AUM tailwind.
m13
Non-operating charge volatility
The 2025-11 print of -0.62 vs +0.56 estimate shows reported EPS can be swamped by one-time items (impairment/tax/mark). Doesn't change earnings power but breaks the clean beat cadence.
vs expectations: ~6m above · 1y inline · 2-3y unknown
The forward growth verdict — is the business itself likely to grow (next 2 quarters / year 1 / years 2–3), judged against its category and against printed expectations. The full horizon ladder + creme renders on the Growth Outlook card above. Not a call on the price (Valuation owns that) or the tape (Sentiment owns that).
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Lenses kept deliberately separate — Company Quality (price-agnostic), Valuation (price-conditional), General Sentiment (non-fundamental macro/narrative pressure), AI Impact (structural ~5yr AI exposure), and Growth Outlook (the forward growth verdict). The scores are not blended. Filing-level items (convertibles, lock-ups, customer concentration) are v2 — see each lens's "verify."
Price Prediction
Lower -7.8% v0.6.0 View full prediction →

When we made this prediction on Aug 16, 2026, NDAQ was $97.02. We expect it to be $89.50 by Feb 2027, and we consider it great value under $78.00. This is an early model (v0.6.0) — the direction is more reliable than the exact price. Made Aug 16, 2026.

Price when predicted$97.02
Our estimate for Feb 2027$89.50-7.8%
Great value below$78.00
Price history shown (6 Months)

Blue is our prediction, starting the day we made it. Grey is a slower route to the same place — the same destination, taking longer. Black is the actual price, so you can see how we are doing.

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My Notes personal — only you see this
v1.1.562 · 9b2927c4 · 2026-08-22 16:52:06