Exchange: NASDAQ·Updated 07:59 PM EDT
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DDOG Datadog Inc

$269.33
$14.01
(4.95%)
Today
Closed $269.33
$3.33
(1.24%)
After Hours
EarningsNov 4
Mkt Cap$101.74B
Vol2.98M

About DDOG

Datadog, Inc. engages in the development of a monitoring and analytics platform for developers, information technology operations teams and business users. Its platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide real-time observability of its customers' entire technology stack. The company was founded by Olivier Pomel and Alexis Lê-Quôc on June 4, 2010 and is headquartered in New York, NY.
59

Bullish Sentiment

How do you feel about DDOG?

Feroce_Research
Portfolio on the line and I have to pick 2 emerging* companies which benefit substantially from Security, Agentic AI, and Inference? Datadog $DDOG and Astera Labs $ALAB Without a single doubt, zero hesitations.
10
Prat_
$DDOG first time I had mentioned 100B market cap, kind of cool. Wasn’t superrrrr far off, ARR wasn’t that close (my bad lol) but love to see my old posts on this bad boy
8
SunriseTrader
$DDOG updated chart. Price filled the overhead gap today. I upped all my stops on let it rides.
1
2
dojidad
$DDOG We started a position when momentum turned positive and this breached the 21 (orange line).Now we are at the 50-day (red line),which is a trigger line for some retail and insitutional buyers. Trending over that line could be a good place to add to this position.
5
Feroce_Research
Datadog all time highs $DDOG is one of the leading performance SP500 stocks this year, but barely gets talked about on here Proud core holding of the portfolio 🙂
4
KryptonResearch14
$DDOG One of Friday's standout software names: +~6% to ~$273.74, with the move tied to Wedbush's note (Steven Wahrhaftig at Strong Buy, 275 target, per StockStory). The August print is the real context. Q2 revenue grew 35.6% to $1.12B, the fastest quarterly pace since 2022. Adjusted EPS 0.65 vs 0.58 expected. Billings up 38%. The stock fell 18% that day anyway. Management disclosed its largest customer cut usage sequentially, and Q3 guidance implied growth slowing to ~28%. That is the tension in one stock. Wedbush's case: AI coding agents generate more changes, more failures, more operational complexity, which expands the monitoring market rather than shrinking it. CEO Olivier Pomel said agentic MCP tool calls rose 22-fold vs Q4 2025, with 750 AI customers on the platform. The demand and the concentration risk are the same AI cohort.
1
KarkoSide
Wall Street may be massively underestimating $DDOG Q2 2026 revenue surged 36% to $1.12 BILLION, with $279M in free cash flow and $5 BILLION in liquidity. Management projects up to $4.47 BILLION in annual revenue, while remaining performance obligations jumped 43% to $3.47 BILLION! Over 750 AI customers already use Datadog, including all ten of the world's leading AI companies. As $NVDA accelerates AI computing and $MSFT, $AMZN and $GOOGL expand cloud infrastructure, demand for observability, GPU monitoring and AI security could soar. Datadog launched over 100 new capabilities in 2026, including autonomous incident response and AI agent protection. Its acquisition of Adaptive ML strengthens its ambitions in agentic AI. With 4,720 customers spending over $100K annually, accelerating enterprise adoption and potential margin expansion, 2027 could unlock an entirely new growth chapter. $DDOG could become essential infrastructure for the AI revolution! 🚀🔥
1
KarkoSide
🐕 $DDOG was barking, reaching for the sky, ChatGPT promised, "This dog will fly!" I bought the breakout, leveraged and proud, Then watched my profits disappear in a cloud. $SNOW kept smiling, $DT joined the race, While $DDOG fell flat on its face. The bulls went silent, the bears attacked, My beautiful gains were brutally hacked. Oh $DDOG, stop digging your grave, Show Wall Street you're still brave! One loud bark, one massive green day, Send those hungry bears running away! 🐕🚀
1
KryptonResearch14
$DDOG CIBC raised its target to 315 from 280 (Outperform) on Friday, citing continued demand for cloud services and AI workloads. Datadog ran 7.1% to 293.26, a new 52-week high. That close sits above the street's 278.51 average target now. ~600x trailing earnings.
1
Pope_of_Profit
$DDOG keeping a close eye on this. I started a short position yesterday but this could be a major trade for me. I love to be early and f it closes like this, as a rejection of the left shoulder,it really is a great example of a potential head and shoulders
1
ChudPangCouPang
$DDOG Its honestly time to put old yeller down, this stock is going under. My end of year price targets have this at $29… two years out delisted. It’s time for $DDOG to move to a butterfly farm.
1
OnlyFibs
$DDOG | Snapshot 📊⚡ • Business: Datadog, Inc., the leading cloud-native observability, security, and AI telemetry platform monitoring complex infrastructure and application stacks. • Financial Health & Pipeline: Surging past $3.4B+ in ARR backed by high net retention, rapid enterprise customer expansion ($100K+ ARR cohort up significantly), and massive tailwinds in LLM/AI infrastructure monitoring.• Bias & Conviction: Bullish Trend Continuation | High Conviction (Channel consolidation at $242.00 support backed by $1.9M institutional call block sweep). 🎯 Key Levels: 🐂 Bull Trigger: $248.50 / $262.20 🚀 Targets: $262.20 / $270.00 / $280.00+ 🛡️ Support: $242.00 / $238.00 ⚠️ Risk: $238.00 / $220.00 🔥 Options Flow: • 🟢 12/18/2026 $270.0 Call ($1.9M Block | +11.31% OTM Opening Block) #DDOG #cloud #software #stocks #hovdid
1
john00728
$DDOG is a useful comparison because customers use it continuously. $CNET ’s SaaS is opened only during a project, value is limited.
1
Alcox2668
$DDOG is discussed through observability and recurring usage. For $CNET , I would ask whether AI consulting or GEO creates ongoing usage rather than ending after one project.
1
mikesterz7
$DDOG CIBC boosted its outlook and lifted its price target on the company while reiterating an Outperform rating, amid a broader rebound across the artificial intelligence sector.
BigAllergies
$DDOG up 178% over 6 months, with sales up 32% on the year. Top 2% of its industry's 285 stocks on the Quality Score, Exceptional at 21.
itsallaboutheoptions
$DDOG Delta flow flags heavy institutional accumulation with a 150 size block leading the top of the tape, signaling a major software sector move —free delta trials link on profile. 🎯
Jimbonada
$DDOG Was thinking about selling when it was 209-210. Glad I didn’t. What a bounce. Nothing like a good dog.
OnlyFibs
$DDOG | Snapshot 📊⚡ • Business: Datadog, Inc. is a leading cloud observability and security analytics platform providing full-stack monitoring across applications, infrastructure, log management, and AI workloads. • Financial Health & Pipeline: Strong multi-quarter revenue growth fueled by expanding enterprise cloud migration and surging demand for AI application monitoring observability tools. • Bias & Conviction: Bullish Continuation | High Conviction (Structure pushing upper consolidation boundary accompanied by aggressive multi-million dollar institutional call buying). 🎯 Key Levels: 🐂 Bull Trigger: $273.00 / $275.00🚀 Targets: $285.00 / $300.00 / $320.00🛡️ Support: $260.00 / $242.00⚠️ Risk: $235.00 / $215.00 🔥 Volume & Flow: • 🟢 Bullish flow sentiment with 0.354 Put/Call ratio. Highlighted by a $1.9M call block on 12/18/2026 $270C and a $550.2K sweep on 10/23/2026 $285C. #DDOG #cloud #tech #stocks #finance #hovdid
ireadmarkets
$DDOG | Equity Research Summary Rating: SELL / TRIM 12-Month Price Target: $195.00 (Downside: -27.3% vs. $268.13) Range: Bear $148.00 (-44.8%) | Bull $275.00 (+2.6%) Core Thesis: While Datadog remains a wide-moat leader in cloud observability with ~30% revenue growth, valuation at ~20x NTM EV/Sales and ~70x FCF unsustainably prices in perfection while ignoring structural dilution from ~$900M+ annual stock-based compensation (SBC), leaving GAAP operating margins near zero. Key Catalysts & Risks: • FinOps & AI client cost-cutting: Ingestion optimization (e.g. recent top AI client usage slowdown) threatens consumption pricing and NRR durability. • Multiple compression: Crowded-long positioning (89% Buy, 3% short float) creates severe asymmetric downside toward peer DevOps multiples (11-15x) upon any execution miss. Not investment advice.

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