Recommended as Stock of the Week on November 29, 2025

Datadog: When cloud blindness is not an option

TickerDDOG.NASDAQ
Recommended Price158.26 USD
Current Price 158.26 USD
Datadog Inc – stock chart

Scores at time of recommendation (November 29, 2025)

Leeway Score
71/100
Excellent
Business Rating
79/100
Excellent
Market-Fit Rating
76/100
Excellent
Cycle Rating
57/100
Fair

More about our scores in Help

5-year stock timeline

2026-08-06 — Q2 2026 earnings beat; revenue +36% y/y; guidance raised

Datadog reported Q2 2026 revenue near $1.12B and non-GAAP EPS of $0.65, both ahead of consensus. Management raised full-year 2026 revenue guidance to the $4.45B–$4.47B range and lifted EPS projections as well, citing strong demand in AI and ML observability. The company referenced recent small acquisitions focused on AI capabilities supporting the product roadmap [13][11][12].

The earnings shift investor sentiment from caution to renewed growth confidence. Datadog's core observability and monitoring business sustained high-teens to low-30s revenue growth while monetizing new AI-related features. The narrative moved away from pure growth-at-all-costs toward profitable scale and AI-driven expansion. The stock rallied off the print with near-term intraday volatility before resuming the broader uptrend established earlier in 2026 [13][11].

2026 (May–Aug) — 2026 guidance lifts and AI narrative accelerates

Datadog repeatedly raised FY 2026 and quarterly guidance across the Q1 and Q2 cadence, pointing to AI training and observability demand. Q1 guidance for Q2 came in near $1.07B, and the company increased full-year projections multiple times as the year progressed [6][2][3].

The market began viewing Datadog as an AI enabler in infrastructure monitoring. Growth rate acceleration combined with improving margins prompted a re-rating by growth investors. Headlines emphasized the large TAM and cross-sell momentum across security, APM, and new AI features.

The stock characterized a multi-month breakout with higher highs and higher lows, trending higher through early and mid-2026 as guidance beats accumulated [6][2].

2025 Q4 / early 2026 — Strong Q4 2025 and initial 2026 guidance

Datadog reported strong Q4 2025 results and issued initial 2026 revenue guidance above prior-year levels, with early projections around $4.06B–$4.10B. The company guided toward improving operating leverage [7][10].

Investors viewed Datadog as returning to faster, more predictable growth after pandemic-era variability. The emphasis shifted toward cross-sell of security, logs, and real user monitoring, alongside margin improvement. The perception tilted toward durable compounder potential.

The stock continued its recovery from 2024 lows into early 2026, breaking out from the 2024–2025 range and sustaining a rally into Q1 2026 [7].

2024 — Execution and product expansion; margin focus

Throughout 2024 Datadog focused on product expansion in security, network monitoring, and synthetics while improving margins. Results showed solid revenue growth alongside some variability in billings and free cash flow as the firm invested in platform and AI capabilities [14].

Market debate centered on whether Datadog could preserve high growth while moving toward GAAP profitability. Sentiment tilted positive as cross-sell metrics and net revenue retention remained strong, though the debate remained live.

The stock ranged from consolidation to modest uptrend as the market rebalanced growth versus profitability expectations, with periods of constructive base building [14].

2023 — Macro pressure, multiple compression, and resumed product cadence

Datadog faced broader tech macro headwinds in 2023 as enterprise spending slowed in parts of the year, creating pressure on multiples. The company continued product launches and incremental acquisitions to strengthen observability and security positioning [14].

Investor view shifted from uninterrupted high multiple growth toward a more scrutinized growth-at-scale story. Scrutiny focused on churn, ARR growth rate, and free cash flow. Long-term believers emphasized TAM and execution while others viewed it as a more mature growth stock.

The stock moved through a corrective phase and range with occasional rallies on product or beat headlines as multiple compression hit many SaaS names [14].

2022 — Solid ARR growth, margin improvement guidance; market rotation

Datadog delivered steady ARR and revenue growth while emphasizing margin improvement and operating leverage. Broader 2022 tech rotation from rate shock pressured valuation multiples for cloud names [14].

Perception became bifurcated: fundamentals remained solid with high net revenue retention and multi-product adoption, but risk premia rose. Investors demanded a clearer path to durable profitability and cash generation.

The stock extended its drawdown from the 2021–2022 tech peak, then formed a long base and range as investors discounted higher rates [14].

2021 — Post-IPO maturation and strong growth story consolidates

Datadog, following its 2019 IPO, by 2021 was widely recognized for accelerating revenue and high net revenue retention driven by APM, logs, and newer security offerings. The company posted strong beats and the growth narrative dominated among cloud and SaaS leaders [14].

The market labeled Datadog a top SaaS compounder with a large observability and security TAM and excellent customer economics. Sentiment was strongly growth-oriented with premium multiples.

The stock traced a strong multi-year uptrend culminating in peak valuations in 2021, followed by volatility as macro tightened in 2022 [14].

[11][6][13]

Key Points

From recommendation (November 29, 2025)

  • Sales Q3 2025: 886 million USD (+28% YoY), free cash flow 214 m USD (24% margin)
  • Around 32. 000 customers, of which 4. 060 with ARR over 100. 000 USD (89% of total sales)
  • 84% of customers use two or more products, strong cross-selling dynamics
  • Security ARR grows by over 50% YoY, digital experience products exceed 300 million USD ARR
  • KPS 2026e of USD 2.02, analysts see fair value at USD 212 (currently USD 160)

Investment Thesis

From recommendation (November 29, 2025)

Datadog has established itself as an indispensable infrastructure for cloud-native companies. The monitoring and observability platform is business-critical for companies with complex digital architecture - no one can afford downtime or performance problems these days. The company is growing organically with the cloud migration megatrend and is also benefiting from intelligent cross-selling mechanisms: Over half of its customers already use four or more products. With strong expansion in security (over 50% growth) and AI integration (over 5. 000 customers send AI data), Datadog is systematically tapping into new sources of revenue. The valuation of 18x sales seems justifiable in view of 28% growth and solid profitability.

Key risks and downside factors

Datadog operates in a crowded market for observability, application performance monitoring, and cloud infrastructure monitoring. Its competitors range from large incumbent enterprise software vendors to specialized observability firms to open-source and cloud-native alternatives. The competitive dynamics turn on pricing and data-ingestion economics, the enterprise sales process, and feature parity across APM, logs, traces, and security capabilities. Material risks include slower enterprise spending cycles, customer pushback on pricing, platform substitution by cloud vendors or open-source alternatives, and regulatory or data-privacy constraints that vary across customers and geographies.

  • Revenue growth faces headwinds as pricing competition intensifies and customers either reduce their telemetry volume or migrate toward lower-cost open-source and cloud-native alternatives.
  • Concentration and enterprise sales risk — the loss or slowdown of large customers, or extended enterprise procurement cycles, could materially reduce ARR growth.
  • Platform and technical risk — failure to innovate on high-cardinality telemetry, security observability, or integrations with major cloud providers could result in customer churn.
  • Regulatory and data-privacy risk encompasses cross-border data transfer restrictions, security incident exposure, and evolving cloud and security regulations that could raise compliance costs or constrain product usage.

Competitive landscape

Datadog operates across full-stack observability, security, and cloud-infrastructure monitoring. Its competitive landscape spans both legacy application performance monitoring vendors and newer cloud-native or open-source alternatives. Public competitors like Dynatrace, Splunk, and Elastic compete primarily on enterprise account penetration, analytics capabilities, or cost structure. Private and open-source offerings including Grafana, Chronosphere, and Honeycomb create ongoing pressure on pricing and feature differentiation. The business faces material risks from its consumption-based revenue model, which amplifies customer sensitivity to cost. Competition from entrenched incumbents remains intense, as does pressure from open-source projects that require minimal switching friction. Customer retention depends partly on integrations with cloud provider platforms—a dependency that limits Datadog's control. Security incidents or regulatory actions affecting customer data could meaningfully erode trust and drive churn.

CompanyTicker
Dynatrace, Inc.DT.NYSE
Splunk Inc.SPLK.NASDAQ
Elastic N.V.ESTC.NYSE

Private competitors

  • Grafana Labs
  • Honeycomb.io
  • Chronosphere
  • Sematext

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Catalysts

From recommendation (November 29, 2025)

  • Further acceleration in the security segment and expansion of digital experience products
  • Increasing AI workload migration structurally increases monitoring requirements
  • Possible margin expansion with scaling platform economy
  • New cloud partnerships and integration extensions

Analysis

From recommendation (November 29, 2025)

Datadog sits in an enviable position in the tech stack of modern businesses: Without real-time monitoring of their cloud infrastructure, companies would be virtually blind, which in the digital economy would be tantamount to total failure. This structural demand is reliably driving growth, while the platform with over 1. 000 integrations and an average of 50 integrations used per customer. The product diversification is particularly noteworthy: security is growing at over 50% annually, digital experience products exceed 300 million euros. USD ARR, and AI monitoring is rapidly gaining in importance. The retention rate of 120% shows that existing customers are continuously spending more. With a non-GAAP operating margin of 23%, the company also proves that growth and profitability are compatible. The recent price weakness of just under 10% in one week offers an interesting entry point, especially as analysts see an average fair value of USD 212. The P/E ratio of 542 initially seems daunting, but reflects the current investment phase - the P/E ratio based on the 2026 estimates is much more moderate.

Performance Figures of Datadog Inc

in USD

1M High / Low
292.72 / 225.26
52W High / Low
292.72 / 98.01
5Y High / Low
292.72 / 61.34
1M
-1.25%
3M
+22.34%
6M
+108.44%
1Y
+100.75%
3Y
+182.93%
5Y
+92.08%

Relative Performance vs Benchmarks

PeriodDatadog Inc vs DAX vs S&P 500 (SPY)
1M -1.25% -7.73% -5.70%
3M +22.34% +13.57% +16.97%
6M +108.44% +102.67% +94.14%
1Y +100.75% +92.21% +78.76%
3Y +182.93% +114.27% +98.23%
5Y +92.08% +26.02% +5.01%

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Historical valuation trends

How the company’s key valuation ratios (P/E, P/S, P/B and P/CF) have evolved over time compared to today.

PeriodP/E RatioP/S RatioP/B RatioP/CF Ratio
Current529.823.721.576.5
1Y ago361.114.914.146.6
3Y ago-348.215.217.559.6
5Y ago-776.654.645.7255.3

Frequently Asked Questions

From recommendation (November 29, 2025)

Is Datadog Inc a good investment?

Datadog Inc has a Leeway Score of 70.5/100, which is rated as Excellent. The Leeway Score combines business quality, fundamental evaluation, and valuation cycle into a comprehensive assessment. A higher score indicates stronger investment quality based on AI-powered fundamental analysis.

What does Datadog Inc do?

Datadog Inc is a company characterized by the following investment thesis: Datadog, Inc. operates an observability and security platform for cloud applications in the United States and internationally. The company's products comprise infrastructure and application performance monitoring, log management, observability pipelines, synthetics, real user monitoring, product analytics, continuous profiler, database monitoring, data observability, LLM observability, error tracking, network monitoring, incident response, workflow automation and App builder, event management, bits AI SRE, cloud cost management, cloud security, code security, cloud SIEM, threat management, sensitive data scanner, and CI visibility. Datadog, Inc. was incorporated in 2010 and is headquartered in New York, New York. Datadog Inc operates in the Technology / Software - Application industry is based in USA employs around 8,100 people. Datadog Inc recently reported revenue of about 3.97B USD, a profit margin of 4.48%, return on equity of 4.70%, a market capitalisation around 91.73B USD, valuation multiples of roughly 500.9x earnings, 23.1x sales, 21.4x book value. Analyst consensus currently expects earnings per share of around 2.97 USD with year‑over‑year growth of 16.70%.

What are the key metrics for DDOG.NASDAQ?

Key metrics for DDOG.NASDAQ include valuation (P/E 542.5, P/S 18, P/B 16.8), profitability (profit margin 3.32%, ROE 3.52%), and growth (revenue 28.40%, earnings -33.70%). Market capitalization is — USD. These metrics give an overview of the company's financial performance and valuation.

How has Datadog Inc's stock price performed?

Datadog Inc's stock has returned — over 1 year, — over 3 years, and — over 5 years. Performance can vary depending on market conditions and company developments.

How is DDOG.NASDAQ valued?

DDOG.NASDAQ has the following valuation metrics: P/E Ratio: 542.5, P/S Ratio: 18, P/B Ratio: 16.8. These metrics help assess whether the stock is fairly valued compared to its fundamentals.

What are the growth catalysts for Datadog Inc?

The key growth catalysts for Datadog Inc are:
  • Further acceleration in the security segment and expansion of digital experience products
  • Increasing AI workload migration structurally increases monitoring requirements
  • Possible margin expansion with scaling platform economy
  • New cloud partnerships and integration extensions
These factors can positively influence the company's future growth and performance.

What are the key risks when investing in DDOG.NASDAQ?

Key risks for DDOG.NASDAQ include: Datadog operates in a crowded market for observability, application performance monitoring, and cloud infrastructure monitoring. Its competitors range from large incumbent enterprise software vendors to specialized observability firms to open-source and cloud-native alternatives. The competitive dynamics turn on pricing and data-ingestion economics, the enterprise sales process, and feature parity across APM, logs, traces, and security capabilities. Material risks include slower enterprise spending cycles, customer pushback on pricing, platform substitution by cloud vendors or open-source alternatives, and regulatory or data-privacy constraints that vary across customers and geographies.
  • Revenue growth faces headwinds as pricing competition intensifies and customers either reduce their telemetry volume or migrate toward lower-cost open-source and cloud-native alternatives.
  • Concentration and enterprise sales risk — the loss or slowdown of large customers, or extended enterprise procurement cycles, could materially reduce ARR growth.
  • Platform and technical risk — failure to innovate on high-cardinality telemetry, security observability, or integrations with major cloud providers could result in customer churn.
  • Regulatory and data-privacy risk encompasses cross-border data transfer restrictions, security incident exposure, and evolving cloud and security regulations that could raise compliance costs or constrain product usage.
Investors should consider these risk factors carefully before making an investment decision.

Who are the main competitors of Datadog Inc?

Datadog Inc competes with several listed peers in its sector. Datadog operates across full-stack observability, security, and cloud-infrastructure monitoring. Its competitive landscape spans both legacy application performance monitoring vendors and newer cloud-native or open-source alternatives. Public competitors like Dynatrace, Splunk, and Elastic compete primarily on enterprise account penetration, analytics capabilities, or cost structure. Private and open-source offerings including Grafana, Chronosphere, and Honeycomb create ongoing pressure on pricing and feature differentiation. The business faces material risks from its consumption-based revenue model, which amplifies customer sensitivity to cost. Competition from entrenched incumbents remains intense, as does pressure from open-source projects that require minimal switching friction. Customer retention depends partly on integrations with cloud provider platforms—a dependency that limits Datadog's control. Security incidents or regulatory actions affecting customer data could meaningfully erode trust and drive churn.
  • Dynatrace, Inc. (DT.NYSE)
  • Splunk Inc. (SPLK.NASDAQ)
  • Elastic N.V. (ESTC.NYSE)
These competitors influence pricing power, growth opportunities and relative valuation.

Key Metrics

From recommendation (November 29, 2025)

Market Capitalization
— USD
P/E Ratio
542.52
Analyst Target Price
211.97 USD

Valuation Metrics

P/S Ratio
18.04
P/B Ratio
16.84

Profitability Metrics

Profit Margin
3.32%
Operating Margin
-0.66%
Return on Equity
3.52%
Return on Assets
-0.50%

Growth Metrics

Revenue Growth
28.40%
Earnings Growth
-33.70%

Dividend history

Long-term record of paid dividends (amount per share and dividend yield at the time of payment).

No dividend data available.

Earnings history & estimates

Historical earnings performance shows how consistently the company meets or exceeds analyst expectations. Forward estimates provide insight into expected profitability and growth trajectory.

Historical earnings performance

96.6%
Beat estimate
0%
Miss estimate
+102.09%
Avg surprise when beat

Reports analyzed: 29

Analyst estimates for upcoming periods

Next year
December 31, 2027
Consensus2.97
Range2.66 – 4.16
46 analysts
Est. growth vs prior: 16.7%
Revisions: 7d ↑2 ↓0 · 30d ↑4 ↓0

Key financial figures

All figures in USD

Selected income statement, balance sheet and cash flow figures. Annual and quarterly, based on reported IFRS/GAAP financials.

20252024202320222021
Revenue3.43B2.68B2.13B1.68B1.03B
Operating income (EBIT)-44.37M54.28M-33.46M-58.70M-19.16M
Net income107.74M183.75M48.57M-50.16M-20.75M
Free cash flow1.00B835.88M632.37M353.52M250.52M
Total assets6.64B5.79B3.94B3.00B2.38B
Equity3.73B2.71B2.03B1.41B1.04B
Net debt1.13B595.20M572.00M498.54M536.77M
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