
Information Technology · Application Software
$230.91
+5.90%
Vol: 645K
Monday, June 15, 2026
No material news in the last 48 hours.
No material news in the last 48 hours. The wave of analyst price-target raises following the DASH conference (Benchmark, TD Cowen, RBC, Piper Sandler, BMO, Barclays) is dated June 11, just before the 2026-06-12 cutoff.
No material company-specific news in the last 48 hours. The most recent catalysts (May 7 Q1 beat with 32% revenue growth and ~30% stock surge, May 6 FedRAMP High certification, May 19 J.P. Morgan TMT conference presentation) all fall outside the 48-hour window.
Datadog closed at $208.82 on May 18, 2026, capping a 61.5% one-month rally and ~80% 52-week gain after a strong Q1 2026 report. Q1 revenue grew 32% YoY to $1.006B, beating the $959.6M consensus, while adjusted EPS of $0.60 beat the $0.51 estimate. The company raised full-year revenue guidance to a $4.32B midpoint (from $4.08B) and adjusted EPS to $2.40 (a 13.2% raise). On May 6, Datadog announced FedRAMP High certification, opening up federal CUI workloads. New product launches included an MCP Server, Bits AI Security Analyst, GPU Monitoring, and Experiments, along with a partnership with Sakana AI and DASH 2026 registration. Wall Street has leaned more bullish on the AI infrastructure beneficiary story, though no fresh analyst PT changes appeared in the past 24-48 hours.
Datadog is presenting at the J.P. Morgan Global Technology, Media and Communications Conference on May 19, 2026, sustaining investor focus following its blockbuster Q1 2026 report on May 7 where revenue grew 32% YoY to $1.006B (first time over $1B) and full-year guidance was raised to $4.32B from $4.08B at the midpoint. Customers paying >$100K annually grew to 4,550, validating enterprise AI observability demand. On May 6 the company achieved FedRAMP High certification, opening federal CUI workloads, and rolled out MCP Server, Bits AI Security Agent, and GPU Monitoring to capture AI-native monitoring share. The stock has rallied to roughly $208 with 34-analyst consensus at Strong Buy. Bear case: valuation now well above the $202 average price target and prior concerns about AI-customer optimization headwinds remain a risk if usage growth normalizes.
Datadog reported Q1 2026 results on May 7 with revenue up 32% YoY to $1.006B, surpassing analyst estimates of $959.6M, and adjusted EPS of $0.60 versus $0.51 consensus. Large customers with $100K+ ARR grew to ~4,550 from ~3,770 a year prior. Full-year revenue guidance was raised to $4.32B midpoint from $4.08B (+5.9%). Shares popped ~30% on the print, the biggest one-day move since IPO. The company achieved FedRAMP High certification on May 6 enabling federal government cloud workloads and launched MCP Server, Bits AI Security Agent, GPU Monitoring, and Experiments plus a Sakana AI partnership. Management is presenting at the J.P. Morgan TMT Conference on May 19. Wedbush raised PT to $220 from $190; CIBC raised to $250 from $215; Scotiabank raised to $225 from $160.
Datadog continues its post-earnings surge with shares hitting an all-time high near $202, up 89.92% in the last month and 36.42% over five sessions. Q1 2026 marked the company's first billion-dollar revenue quarter ($1.006B, +32% YoY) and Datadog raised full-year 2026 revenue guidance to $4.30-$4.34B citing accelerating AI-driven demand. Multiple price target increases followed Q1, with consensus Strong Buy (39 Strong Buy/3 Moderate Buy among 45 analysts) and mean price target of $216.35. The company launched MCP Server, Bits AI Security Agent, GPU Monitoring, and Experiments for general availability. Risk: high valuation and SaaS cyclicality if AI capex moderates.
Datadog posted its first-ever billion-dollar quarter on May 7, with Q1 revenue of $1.006B and EPS of $0.60 vs $0.42 expected, sending shares up roughly 30% — its biggest single-day move since IPO. Management raised full-year 2026 revenue guidance to $4.30-$4.34B and Q2 to $1.07-$1.08B. CEO Olivier Pomel disclosed two new hyperscaler customers tied to superintelligence lab training, validating the AI-observability thesis. On May 6, Datadog achieved FedRAMP High certification, opening federal CUI workloads; on May 12 it announced an upcoming investor conference appearance. Rothschild & Co Redburn initiated at Buy with a $170 target, and Guggenheim upgraded from Neutral to Buy at $175. Risk: stretched valuation after the surge leaves limited margin for any AI workload digestion.
Datadog reported Q1 2026 revenue of $1.006B (+32% YoY), its first-ever billion-dollar quarter, sending shares up ~30%, the biggest one-day move since IPO. The company raised its full-year outlook and disclosed ~4,550 customers with $100k+ ARR (vs ~3,770 a year ago). Datadog announced FedRAMP High certification on May 6, opening federal CUI workloads, and rolled out MCP Server, Bits AI Security Agent, GPU Monitoring, and Experiments products positioning DDOG as an AI-era observability winner. Rothschild & Co Redburn initiated Buy at ~$170 PT; Guggenheim upgraded to Buy at $175 PT.
Datadog reported Q1 2026 results on May 7: revenue of $1.006B (+32% YoY) beat estimates, GAAP operating income of $7M (1% margin), and non-GAAP operating income of $223M (22% margin). EPS beat by 103%, sending shares up nearly 30% as management raised full-year guidance citing strong AI-driven demand. The company also achieved FedRAMP High certification on May 6, opening federal-government workloads. New product launches include MCP Server, Bits AI Security Analyst, GPU Monitoring, and Experiments, plus a partnership with Sakana AI and DASH 2026 registration. Rothschild & Co Redburn launched coverage at Buy with a $170 PT, while Guggenheim upgraded from Neutral to Buy with a $175 PT.
Datadog posted Q1 2026 results on May 7 that crushed estimates: revenue of $1.006B (+32% YoY) vs. $961M consensus, adjusted EPS $0.60 vs. $0.51 est. ARR surpassed $4B and $100k+ ARR customers grew to ~4,550 from ~3,770 a year ago. Management raised full-year revenue guidance to $4.30B-$4.34B from $4.06B-$4.10B. CEO Olivier Pomel disclosed two major hyperscaler wins in superintelligence labs, with OpenAI cited as its biggest customer. Datadog also achieved FedRAMP High certification and launched MCP Server, Bits AI Security Agent, GPU Monitoring, and Experiments to GA. Shares surged ~31%, the biggest one-day pop since the 2019 IPO, and multiple analysts lifted price targets.
Datadog reported massive Q1 2026 results with revenue of $1.01B (+32% YoY), beating estimates of $959.6M, and adjusted EPS of $0.60, topping consensus of $0.51. Stock surged 31% on earnings. Company raised full-year revenue guidance to $4.32B and adjusted EPS to $2.40 from prior forecasts. Management highlighted acceleration in revenue and ARR growth, with customer adoption of multi-product packages rising materially as hyperscalers turn to Datadog for GPU/AI infrastructure observability. Rothschild & Co initiated with Buy and $170 target. Guggenheim upgraded from Neutral to Buy with $175 target. Canaccord raised price target to $225 from $185. Strong growth linked to AI infrastructure buildout.
Datadog delivered exceptional Q1 2026 results with revenue of $1.006B, up 32% YoY, marking the first billion-dollar quarter in company history. Non-GAAP EPS rose 30% YoY to $0.60. The company raised full-year 2026 guidance to $4.3-$4.34B (vs $4.09B consensus) and lifted EPS guidance to $2.44 max vs $2.16 prior. Large customer base ($100k+ ARR) grew 21% YoY to 4,550. Shares surged 28-31% on earnings beat. Guggenheim upgraded to Buy with $175 target citing AI-driven data growth tailwinds.
Datadog is scheduled to report Q1 2026 earnings on May 7 with strong revenue growth expected and a new GPU Monitoring tool for managing AI compute costs. Guggenheim upgraded the stock to Buy with $175 target, citing strong positioning for AI-driven growth. Macquarie also named it a top software pick. The company guides FY2026 revenue to $4.06B-$4.10B (18-20% growth) versus Q4 revenue of $953.2M (+29% YoY). Market expects 26% YoY revenue growth in Q1. Wall Street sees 26% upside with consensus PT of $176.95. Key risks include growth deceleration expectations and competitive pressures in observability platforms.
| Company | Price | Day | 1M | Fwd P/E | Beta | Mkt Cap |
|---|---|---|---|---|---|---|
| DDOGDATADOG | $230.91 | +5.90% | +4.4% | 76.7x | 1.29 | $77.6B |
| ORCLORACLE | $192.30 | +1.33% | +1.7% | 23.6x | 1.54 | $545.8B |
| PLTRPALANTIR | $131.65 | -4.20% | +1.7% | 66.3x | 1.52 | $329.4B |
| APPAPPLOVIN | $520.37 | +7.10% | -1.3% | 22.2x | 2.37 | $163.2B |
| CRMSALESFORCE | $169.11 | -4.08% | -1.8% | 11.8x | 1.14 | $144.2B |
| CDNSCADENCE | $392.20 | +9.41% | +3.6% | 38.2x | 1.13 | $98.9B |
Price above both MAs — bullish structure.