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What this page is: Delvantic's full research page for Datadog, Inc. Class A Common Stock (DDOG) — 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 2026-08-23): Designation Low · Gem Score -16 (−100…+100 Quality+Value blend) · Quality 23 · Value -55 · Sentiment -50 (timing only, not weighted)
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reference-name attribute you can cite):
profile-header/price-overview— company profile, live quote, market capextended-analysis— the core: three AI lens reads with findings, scores, and the analyst memofuture-predictions— our forward price-band predictionsmarket-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.
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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.
Datadog, Inc. Class A Common Stock
DDOG NASDAQDatadog, Inc. Class A Common Stock represents ownership in Datadog, Inc., a public software company that delivers a cloud-native observability and security platform for modern applications. Datadog provides a unified Software-as-a-Service environment that brings together metrics, logs, traces, and security signals to give engineering, DevOps, and IT operations teams real-time visibility across their entire technology stack. Its platform monitors infrastructure, application performance, databases, containers, serverless functions, digital user experience, and cloud security posture, helping organizations detect, investigate, and resolve operational and security issues efficiently. Datadog’s tools are widely used in distributed, containerized, and multi-cloud environments, integrating with a broad ecosystem of third-party services to centralize observability data. The company serves enterprises across industries that rely on cloud applications and complex infrastructure, and it plays a significant role in the enterprise software and cloud operations market. Founded in 2010 and headquartered in New York City, Datadog, Inc. is positioned as a core platform for monitoring and securing business-critical digital services.
Price Overview
Price History (1 Year)
Revenue & Net Income Trend
| Period | Revenue | Net Income | Net Margin | YoY/QoQ |
|---|
Key Metrics
EPS (Diluted): 0.31
Total Equity: $3.73B
Shares: 363,472,000
Total Debt: $0.00
Cash: $401.31M
EBITDA: $4.83M
Total Debt: $0.00
Cash: $401.31M
Revenue: $3.43B
Revenue: $3.43B
Revenue: $3.43B
Total Equity: $3.73B
Tax Rate: 15.2%
Equity: $3.73B
Total Debt: $0.00
Cash: $401.31M
Current Liabilities: $1.59B
Long-Term Debt: $0.00
Total Debt: $0.00
Total Equity: $3.73B
Shares: 363,472,000
Shares: 363,472,000
CapEx: -$49.58M
Shares: 363,472,000
Stock Price: $260.78
Net Income: $107.74M
Industry Benchmarks
Income Statement (Annual)
Last updated: Aug 7, 2026 12:04am (16d ago)| Metric | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|
| Revenue | $1.0B | $1.7B | $2.1B | $2.7B | $3.4B |
| Cost of Revenue | $234.2M | $346.7M | $409.9M | $515.5M | $687.0M |
| Gross Profit | $794.5M | $1.3B | $1.7B | $2.2B | $2.7B |
| Operating Expenses | $813.7M | $1.4B | $1.8B | $2.1B | $2.8B |
| Operating Income | -$19.2M | -$58.7M | -$33.5M | $54.3M | -$44.4M |
| Net Income | -$20.7M | -$50.2M | $48.6M | $183.7M | $107.7M |
| EBITDA | $-656,000 | -$31.7M | $2.1M | $102.8M | $4.8M |
| EPS | $-0.07 | $-0.16 | $0.15 | $0.55 | $0.31 |
| EPS (Diluted) | $-0.07 | $-0.16 | $0.14 | $0.52 | $0.31 |
Balance Sheet (Annual)
Last updated: Aug 6, 2026 7:30am (17d ago)| Metric | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|
| Cash & Equivalents | $271.0M | $339.0M | $330.3M | $1.2B | $401.3M |
| Total Current Assets | $1.9B | $2.3B | $3.2B | $4.9B | $5.4B |
| Total Assets | $2.4B | $3.0B | $3.9B | $5.8B | $6.6B |
| Current Liabilities | $528.7M | $759.7M | $1.0B | $1.9B | $1.6B |
| Long-Term Debt | — | — | — | — | — |
| Total Liabilities | $1.3B | $1.6B | $1.9B | $3.1B | $2.9B |
| Total Equity | $1.0B | $1.4B | $2.0B | $2.7B | $3.7B |
| Retained Earnings | -$152.1M | -$202.3M | -$153.7M | $30.0M | $137.8M |
Cash Flow (Annual)
Last updated: Aug 7, 2026 12:04am (16d ago)| Metric | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|
| Operating Cash Flow | $286.5M | $418.4M | $660.0M | $870.6M | $1.1B |
| Capital Expenditure | -$10.0M | -$35.3M | -$27.6M | -$34.7M | -$49.6M |
| Free Cash Flow | $276.6M | $383.1M | $632.4M | $835.9M | $1.0B |
| Acquisitions (net) | -$226.5M | -$45.9M | -$12.5M | -$7.1M | -$118.0M |
| Net Debt Issued / (Repaid) | — | — | — | — | — |
| Dividends Paid | — | — | — | — | — |
| Stock Buybacks | — | — | — | — | — |
| Net Change in Cash | $45.8M | $67.8M | -$11.9M | $916.6M | -$845.7M |
Growth Trends (YoY %)
Last updated: Aug 7, 2026 12:04am (16d ago)| Metric | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|
| Revenue Growth | +62.8% | +27.1% | +26.1% | +27.7% |
| Gross Profit Growth | +67.2% | +29.4% | +26.2% | +26.3% |
| Operating Income Growth | -206.4% | +43.0% | +262.2% | -181.7% |
| Net Income Growth | -141.8% | +196.8% | +278.3% | -41.4% |
| EBITDA Growth | -4,731.6% | +106.7% | +4,712.0% | -95.3% |
Deep Analysis
Risk : Reward — if the last quarter repeats
Live · as of 2026-08-19 08:47Even the bull case prices 79% below today — the ratio here measures the model-vs-market gap, not payoff odds. Another quarter like the worst recent one costs 98%.
| Case | Growth | Margin | Fair value | vs price ($260.78) |
|---|---|---|---|---|
| Bull — recovery | +56% | 17.3% | $55.23 | -79% |
| Base — stabilizes | +37% | 15.0% | $29.79 | -89% |
| Bear — keeps slipping | +19% | 12.8% | $15.01 | -94% |
| Stress — last quarter repeats | +28% | 2.2% | $4.22 | -98% |
Narrative Economics
market-narrative step).
AI Lens 4th lens · how AI reaches this business · 5-yr
2026-08-11Datadog monetizes infrastructure volume (hosts, containers, GB ingested, spans), not seats — so agentic coding, GPU fleets, inference services and machine-generated microservice sprawl increase billable surface area even if customer engineering headcount stays flat or shrinks.
The scarce thing Datadog historically sold was human-legible correlation across a messy stack; cheap reasoning models make that analysis layer near-free, so if agents can query raw telemetry (or hyperscaler-native stores) directly, Datadog's differentiation collapses toward retention cost per GB, where AWS/Azure/GCP and open-source Grafana/ClickHouse stacks win on price.
AI Lens thesis
What the market may be underestimating
Downside whadagog’s bill is already the most-audited line in the cloud budget; AI-driven telemetry pipelines and tiering tools make it easy to cut ingest volume without losing insight, so unit deflation can outrun volume growth. Separately, Bits AI-style agentic features carry real inference cost inside cost of revenue — the 80.8%→80.0% gross margin drift is the early tell.wa Datadog spends to look AI-native without repricing.who own the remediation loop.datadog’s value migrates.wadatadog’s customers absorb it internally.wadatadog’s 80% gross margin survives it...datadog remains the system of record.Wa. .call through into Datadog or around it.ether Datadog is the tool agents call or the store agents drain..datether the incident loop stays inside Datadog.datadog’s consumption unit keeps compounding..Datadog’s installed instrumentation stays sticky.Whether the analysis layer stays paid.Whether OpenTelemetry erases switching cost.Whether hyperscalers bundle it away.Whether AI-native entrants undercut on price.Whether inference cost dilutes gross margin.Whether usage optimization outruns volume growth.Whether Bits AI monetizes separately.Whether large AI-native customers insource.Whether agents route through Datadog APIs.Whether telemetry corpus trains better SRE models.Whether net revenue retention holds above 115%.Whether ingest pricing deflates faster than volume grows.critical_hinge_placeholder
Outcome range spread 55 · unresolved
Claude Reading
Starting from the raw numbers: Datadog is doing $1.12B in Q2 2026 revenue, up from $826.8M in Q2 2025 — that's 35.5% YoY, and it's *accelerating* from the 27% CAGR the momentum module cites. Q1→Q2 2026 sequential growth of 10.9% is not a decelerating business; it's a re-accelerating one, likely benefiting from AI-workload observability spend. That's the single most important fact in this file and the synthesis and market-forces models both underweight it. The "profitability collapse" narrative also deserves scrutiny: GAAP net income went from $51.7M (Q3'24) to $2.6M (Q2'25) to $44.6M (Q2'26). That's not a collapse — that's a stock-comp-driven trough coincident with a hiring/AI-infra investment cycle, and it's already reversing. FCF of $1.00B on $3.43B revenue (29% FCF margin) is the number that matters, and it's healthy.
Where the models overreach: the Thesis Evaluation's "-6, bearish tilt" and the Market Forces "wait for margin stabilization" call look stale against the Q2'26 print. Margins already stabilized — net margin went 0.3% → 3.2% → 3.8% → 4.9% → 5.2% → 4% over six quarters, with the dip in Q2'26 attributable to a bigger revenue base, not deteriorating unit economics (gross margin is still ~80%). The "hyperscaler bundling kills Datadog" bear thesis has been the consensus bear case for five years and DDOG has grown revenue 3.3x since 2021 through it. CloudWatch and Azure Monitor exist; customers still buy Datadog because multi-cloud observability is genuinely a different product. That said, the market-narrative module's point that ~70% of valuation depends on the story holding is directionally right — at 27x sales and $93.6B market cap, you are paying for continued 25%+ growth for years.
The contrarian case a careful skeptic should press: (1) The Q2'26 acceleration could be a one-time AI-observability pull-forward — a lot of enterprises are instrumenting LLM workloads right now, and that could normalize back to 20% growth by 2027, at which point 27x sales looks absurd. (2) Insider selling is heavy and mechanical — ten transactions in a single week including 20K-share conversions immediately paired with sales is 10b5-1 behavior, not panic, but the aggregate cadence signals insiders think this is a good price. (3) The GAAP op margin of -1.3% for FY2025 versus +2% for FY2024 does mean SBC and headcount are growing faster than revenue at the margin — investors relying on "operating leverage will kick in" need to see FY2026 op margin turn convincingly positive. (4) At $93.6B / $1B FCF, you're paying 93x trailing FCF; even if FCF grows 25% for five years to ~$3B, that's still 31x forward FCF five years out — pricey unless growth persists beyond that.
GPT Reading
Datadog’s raw numbers say “excellent business, stretched stock.” Revenue has compounded from $1.03B in 2021 to $3.43B in 2025, and the quarterly run-rate has now crossed $1.12B, implying a business exiting the latest quarter at roughly $4.5B annualized revenue. Growth is still real, not nostalgic: June 2026 revenue of $1.12B was up 35% from $826.8M a year earlier, and even against the March quarter’s $1.01B, sequential growth was a healthy 10.9%. Gross margin remains near 80%, which is elite and supports the argument that this is a durable software platform rather than a services-heavy grower. The balance sheet is clean with no debt, and cash generation is undeniable: 2025 operating cash flow was $1.05B and free cash flow $1.00B on $3.43B of revenue, a roughly 29% FCF margin. If I looked only at revenue durability, gross margin, and cash conversion, I would call this one of the highest-quality software franchises in market.
But the valuation is asking investors to pay for an outcome that the income statement does not yet support. At a $93.6B market cap and roughly 27x sales, the stock is priced like a company that will sustain high-20s growth for years while eventually producing mature software margins. Yet the actual earnings profile has gone sideways-to-worse. Annual operating income was positive $54.3M in 2024, then slipped to negative $44.4M in 2025 despite revenue growing 28%. Quarterly net margin has also compressed from 7.5% in September 2024 and 6.2% in December 2024 to just 0.3% in June 2025, then only 3-5% through the last four quarters. Even with June 2026’s revenue growth acceleration, net income was only $44.6M, a 4.0% margin, versus $76M-plus needed just to look like a normal premium-software earnings profile at this scale. When a company at $4B-plus revenue run-rate still reports de minimis GAAP profitability, the market is effectively underwriting future margin expansion as a certainty. I don’t.
The key contradiction is that Datadog’s cash flow says “scaled and efficient,” while the P&L says “still spending heavily to defend growth.” Some of that is benign for software names, but the stock leaves little room for ambiguity. A business doing $1.0B of annual free cash flow can justify a premium; a business trading near 94x that free cash flow, or 27x trailing sales, needs either extraordinary growth durability or imminent margin inflection. The recent data show one but not the other. And because the enterprise value is so large relative to current economics, even small disappointments matter. If growth slides from the current 27-35% range toward the low 20s while GAAP operating margins hover around breakeven, the multiple can compress brutally even if the business itself remains very good. That is the central risk here: not business failure, but valuation gravity.
The best case against my view is straightforward and serious. Datadog has already proven it can scale revenue at an exceptional pace without leverage risk, and its FCF profile is much better than the headline P/E or operating margin suggests. Going from $2.68B in 2024 revenue to $3.43B in 2025 and then to a $4.5B run-rate by mid-2026 is not the pattern of a maturing asset; it is the pattern of a platform still taking share. If you believe free cash flow is the right lens, then a 29% FCF margin on a company still growing roughly 30% can support a very rich multiple, especially in infrastructure software where winners often consolidate spend across categories. The deceleration concerns also look less compelling after the latest quarter re-accelerated sharply year over year. And insider selling here is not dispositive; a handful of conversion-and-sale transactions in a high-flying stock often reflect diversification rather than thesis breakage. A smart bull would say the market is paying for category leadership plus a future operating margin that is temporarily obscured by intentional reinvestment, and that may prove right.
What would change my mind is not another strong revenue print by itself. I would need to see evidence that Datadog can pair 25%+ growth with a durable return to meaningful GAAP profitability. Concretely, if the next few quarters keep revenue above $1.15B, then $1.25B+, while net margin moves from 4-5% toward 8-10% and annual operating income turns solidly positive again, the current multiple becomes easier to defend. Conversely, if growth falls back toward the low 20s or quarterly net income remains stuck around $40-50M on billion-dollar revenue quarters, then the stock is priced too high. At $260.78, I think investors are paying for the best version of the story before the margin structure has earned it.
Grok Reading
The numbers describe a genuinely high-quality SaaS franchise that the market has already paid for several times over. Datadog just printed $1.12B in quarterly revenue and is annualizing above $4.4B, with trailing-year revenue of $3.43B up roughly 28% from $2.68B and a multi-year revenue CAGR near 27%. Gross margin sits at ~80%, free cash flow hit $1.00B against only $50M of capex, and the balance sheet carries zero debt with $401M cash. That is real operating leverage in the cash account. Yet GAAP profitability is going the wrong way at the worst possible moment for a $93.6B company: annual operating income flipped from +$54M in 2024 to –$44M in 2025, net income fell from $184M to $108M even as revenue rose $750M, and quarterly net margins are stuck in a 0–5% band. At $260.78 you are paying 27.7× trailing sales, ~27× EV/revenue, roughly 94× FCF, and an 841× P/E that is arithmetically meaningless because earnings are near zero. A 27% grower priced at 27× sales leaves almost no room for the deceleration the quarterly trend already flags.
What stands out hardest is the contradiction between cash generation and the “at-scale platform” narrative the multiple requires. FCF of $1B on $3.4B revenue is elite conversion, which is why bulls can ignore the operating loss. But ROIC is negative, ROE is 2.9%, and earnings CAGR is being propped up by a low base while recent earnings are –41% year-on-year. The rule-based and narrative layers correctly tag this as a platform story; they also correctly note that ~70% of the valuation is story, not capitalized current cash flows. Hyperscaler bundling (CloudWatch, Azure Monitor) and open-source alternatives are not theoretical bears—they are the reason a company this scaled still cannot show operating leverage in the P&L. Insider flow is one-way selling around the $260 area. Secondary signals already read decelerating revenue confidence, unusual selling, and below-sector benchmarks. The stock is priced for durable mid-20s growth plus a march to 25–30% net margins; the income statement is delivering neither margin expansion nor acceleration.
The strongest opposing case is straightforward and must be weighed: land-and-expand is working, multi-product adoption and NDR above 100% are real moat signals, FCF quality is excellent, and if Datadog compounds revenue at 20%+ for five years while operating margins grind toward the mid-20s, today’s 27× sales compresses into something closer to 10–12× forward and the equity still works. Secular multi-cloud and containerization tailwinds have not disappeared, customer switching costs in observability are high once agents and dashboards are embedded, and the $1B FCF run-rate means the company is self-funding. A smart bull argues that GAAP operating losses are largely stock-based compensation and growth opex, not structural decay, and that the market always overpays for the scarce pure-play winner in a category this large. I weigh that case as real but insufficient at this price. The same FCF strength that supports the bull case also means the market is already capitalizing a best-case trajectory; any growth slip toward high-teens or continued margin stagnation leaves a long way down from 27× sales, and the thesis evaluation’s –6 score with bundling and profitability as top bears matches the data better than the unanchored platform-monopoly narrative.
I would flip toward neutral or constructive only on clear evidence of operating-margin expansion into the low double digits on a trailing basis while revenue growth holds above 22–25%, or on a multiple reset into the mid-teens sales range without a collapse in net expansion rates. Upcoming prints that show sequential margin recovery, stable or rising RPO/cRPO growth, and no acceleration in churn or discounting against hyperscaler attach would matter; a guide-down on growth or another year of negative operating income at this scale would confirm the short side of the ledger.
Big-3 Panel — where each AI stands
Advanced Analysis Forensic deep-dive · separate lenses
Datadog is a scaled software platform with a genuinely strong operating profile: revenue compounded from $1.03B (2021) to $3.43B (2025), gross margin sits steady around 80%, and FCF has scaled from $277M to $1.00B, roughly 29% of revenue. Cash conversion is real: OCF/NI at 1.18x, accruals -14% of assets, Beneish M -2.73, Altman Z 20.5 — the mechanical earnings-quality picture is clean. Net cash of $401M plus $1B/yr FCF means zero funding risk. The soft spot is the gap between adjusted and economic profitability. SBC ran 21.9% of revenue (roughly $750M+ on $3.43B), which is why GAAP operating margin is still negative (-1.3% in 2025, actually worse than 2024's +2.0%) despite the scale. Diluted shares grew from 309M to 363.5M, a 4.1% CAGR, and there are no buybacks to offset it — per-share economics are being diluted every year even as the business scales. GAAP net income also went backwards ($184M to $108M) as SBC/opex outpaced gross profit growth. Insider tape shows one-way selling (82 sales, 0 buys, $102M in 12 months), with recent Agarwal activity being conversion-then-sell rather than open-market conviction moves. Not alarming for a founder/exec-heavy cap table but not supportive either. Overall this is a durable, well-run, cash-generative platform business with a persistent dilution tax and no demonstrated GAAP operating leverage yet.
Verify before trusting this (5)
- Net revenue retention and customer concentration trends in the latest 10-K
- Breakdown of SBC by function and whether grant run-rate is decelerating vs revenue
- Whether any convertible debt or dilutive instruments sit off the equity line
- Segment/product-level growth (core APM/logs vs newer AI/security modules) for durability read
- 10b5-1 plan disclosures behind the Agarwal conversion-and-sell pattern
Datadog trades at $260.78 for a $93.6B market cap on roughly 27x sales — a multiple that already bakes in the platform-monopoly narrative. The business is genuinely strong (high-80s gross margins, ~$1B FCF, net cash), which raises deserved value versus a typical SaaS name, but the quality lens flagged 22% SBC and ~4% annual dilution, so the economic earnings are materially below the adjusted narrative. On a cash-adjusted basis, you are still paying north of 25x sales for a company whose growth must decelerate simply due to size. To justify $260 you need sustained 30%+ growth for years AND meaningful GAAP margin expansion AND fended-off hyperscaler/open-source competition — a stacked set of wins, not a single bet. Deserved value on skeptical assumptions (say 25-30% growth fading to 20%, mid-20s FCF margin at maturity, discounted for dilution) lands closer to $200-220. That puts the gap at roughly 15-25% overvalued — rich, not absurd. This is the classic 'great company the market already knows about' setup where price has caught up to quality.
Verify before trusting this (4)
- Latest NRR and large-customer ($100k+ ARR) growth trajectory — the leading indicator of deceleration
- AI/LLM observability attach rate and pricing — the swing factor for reaccelerating growth
- GAAP operating margin trend ex-SBC leverage — proof the model actually scales
- Guidance shape for next year: is management signaling growth below 25%?
The macro backdrop is mildly supportive (VIX 15.5, S&P near highs, risk-on regime building), but that helps low-beta defensives more than a 1.51-beta hyper-growth SaaS name whose valuation is 70% story. The story itself just took damage: on Aug 6 DDOG beat and raised and still fell 19% because bookings decelerated and the market read it as the law-of-large-numbers finally biting. That is the classic sign of a narrative shifting from 'platform monopoly compounding forever' to 'prove you're not decelerating' - a materially worse posture even if the numbers are fine. News flow amplifies the doubt: peers like Fastly rallying on AI-cloud rotation (money moving AROUND DDOG, not into it), a large CEO insider sale of $36.5M hitting the tape, and headlines explicitly framing the name as 'punished for slowing down.' Analyst tone in the coverage is hedged ('worth investing... though premium valuation'), not the unqualified cheerleading a cult-medium platform story needs to hold a rich multiple. Net: the tape isn't hostile, but the specific narrative pressure on THIS ticker is negative and fresh, and at 1.51 beta any macro wobble will land harder here than on the index.
Verify before trusting this (5)
- Next print's bookings/RPO growth - reacceleration would repair the narrative fast
- Whether sell-side targets get cut post the Aug 6 drop or held (revision direction matters more than absolute level)
- Sector rotation: are AI-cloud flows going to peers (Fastly, hyperscalers) or coming back to observability names
- Any further insider sales in the next 30 days
- Commentary from tech-focused funds (Sands, ARK-style) on position sizing
Verify before trusting this (8)
- Share of ingest via OpenTelemetry
- Agentic SRE product adoption
- Dashboard-seat vs consumption mix
- Net revenue retention level
- Revenue per host/GB trend
- Optimization-driven guidance cuts
- Pricing of AI features vs bundling
- Competitor AI root-cause parity claims
This lens hasn't been run for this ticker yet.
When we made this prediction on Aug 11, 2026, DDOG was $260.78. We expect it to be $240.00 by Feb 2027, and we consider it great value under $200.00. This is an early model (v0.6.0) — the direction is more reliable than the exact price. Made Aug 11, 2026.
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.