DATADOG INC

Insider Trading & Executive Data

DDOG
NASDAQ
Technology
Software - Application

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639 insider trades in the last year. Go beyond summary counts with transaction-level detail, compensation intelligence, and institutional ownership context.

Trade-level insider transactions with filing links, transaction codes, and footnotes
Executive compensation trends by role with year-over-year comparisons
Institutional ownership shifts by quarter with top-holder concentration data
Form 144 and Form 8-K monitoring with AI analysis and CSV export tools

Insider Activity Summary

Insider Trades (1Y)
639
46 in last 30 days
Buy / Sell (1Y)
157/482
Acquisitions / Dispositions
Unique Insiders (1Y)
16
Active in past year
Insider Positions
23
Current holdings
Position Status
22/1
Active / Exited
Institutional Holders
968
Latest quarter
Board Members
18

Compensation & Governance

Avg Total Compensation
$11.4M
Latest year: 2024
Executives Covered
8
Comp records available
Form 8-K Events (1Y)
1
Personnel Changes (1Y)
1
Bonus Plan Events (1Y)
0
Organization Changes (1Y)
1
Board Appointments (1Y)
1
Board Departures (1Y)
0

Restricted Sales

Form 144 Filings (1Y)
131
Form 144 Insiders (1Y)
12
Planned Sale Shares (1Y)
3.4M
Planned Sale Value (1Y)
$446.8M
Price
$111.09
Market Cap
$39.5B
Volume
62,424.71
EPS
$0.31
Revenue
$3.4B
Employees
8.1K
About DATADOG INC

Company Overview

Datadog is a cloud-native, multi-tenant SaaS vendor that provides observability and security across metrics, traces, logs, user sessions and security signals via a single agent and 850+ integrations. The platform is cloud-agnostic and highly scalable, serving ~30,000 customers globally with a land‑and‑expand go-to-market that drives growth through freemium/trial conversion and in‑product cross-sell (notable product launches include Event Management and LLM Observability). Fiscal and quarterly MD&A highlight strong revenue growth (~26% FY2024 and high-teens/20s growth into 2025), high gross margins (~80–81%), robust operating cash flow and a concentration of ARR in larger customers (3,610–3,850 customers with ARR ≥ $100k representing ~88–89% of ARR). Key operational risks include dependence on third‑party cloud providers, ongoing cloud hosting cost pressure, data/privacy and local labor compliance, and competitive pressure from cloud vendors and specialists.

Executive Compensation Practices

Compensation at Datadog is likely equity‑heavy: management disclosed substantial non‑cash compensation (stock‑based comp of $570.3M in 2024), reflecting typical Software‑Application pay mixes that favor RSUs/PSUs and option grants to align retention and long‑term value creation. Pay and incentives are expected to be tied to SaaS KPIs emphasized in filings — revenue growth, ARR growth and composition, dollar‑based net retention (mid‑ to high‑110s to ~120% trailing 12‑month), number of large customers (ARR ≥ $100k), product adoption breadth (>4 products per customer) and cash generation/free cash flow. Given the company’s heavy R&D spend (43% of revenue) and aggressive go‑to‑market investments, compensation plans may include product‑milestone or innovation metrics as well as multi‑year performance vesting to retain engineering talent across international hubs. Financing activity (convertible notes issued/converted, capped calls) and potential M&A can materially affect dilution expectations and therefore influence the structure and size of long‑term equity awards granted to executives.

Insider Trading Considerations

Insiders at Datadog will commonly transact for tax withholding and diversification given large RSU/PSU grants; the filings show material equity issuance events (2025 note conversions and share issuance, capped‑call activity) that can coincide with insider share movements and dilution. Expect standard Section 16 reporting, pre‑clearance and black‑out windows around earnings, major product launches (e.g., LLM Observability) or material cloud‑cost disclosures; many executives in this sector also use pre‑arranged 10b5‑1 plans to regularize sales while avoiding accusations of trading on material nonpublic information. Cross‑border workforce and local labor/tax rules (notably France) can create timing differences in vesting/withholding that produce clustered insider sales or exercises. Finally, because Datadog’s stock sensitivity ties closely to subscription growth, net retention and margin/cost trends (particularly third‑party cloud costs), insider trades around quarterly ARR and cost disclosures warrant close scrutiny for timing and intent.

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