Datadog (DDOG) Share-based Compensation (2018 - 2026)
Datadog (DDOG) reported Share-based Compensation of $220.25 million for Q2 2026, up 22.0% from $180.46 million a year earlier and up 11.9% from the prior quarter.
Powered by 
Analysis
Datadog (DDOG) Share-based Compensation (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Datadog's Share-based Compensation came in at $823.04 million, up 27.5% year-over-year; for FY2025, it came in at $750.67 million, up 31.6% from FY2024.
- Share-based Compensation has increased for eight consecutive years, with a five-year compound annual growth rate of 58.8% (FY2020 to FY2025).
- By year, Share-based Compensation came in at $570.34 million in FY2024 (+18.3%), $482.3 million in FY2023 (+32.8%), $363.15 million in FY2022 (+121.8%) and $163.74 million in FY2021 (+120.2%).
- The Q2 2026 figure ranks as the highest quarterly Share-based Compensation in data going back to Q4 2018.
- Year over year, Share-based Compensation has now increased in each of the last 23 quarters, with growth averaging 25.9% over the last eight quarters.
- The year-over-year growth in Share-based Compensation has ranged between 13.8% (Q2 2024) and 138.7% (Q2 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $196.84 million (Q1 2026), $205.39 million (Q4 2025) and $200.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Stock Comp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 460.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 376.91 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 79.30 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 423.58 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 220.25 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 144.00 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 148.94 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 114.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 220.25 Mn |
| Mar 31, 2026 | 196.84 Mn |
| Dec 31, 2025 | 205.39 Mn |
| Sep 30, 2025 | 200.56 Mn |
| Jun 30, 2025 | 180.46 Mn |
| Mar 31, 2025 | 164.27 Mn |
| Dec 31, 2024 | 158.46 Mn |
| Sep 30, 2024 | 142.19 Mn |
| Jun 30, 2024 | 134.65 Mn |
| Mar 31, 2024 | 135.03 Mn |
| Dec 31, 2023 | 128.12 Mn |
| Sep 30, 2023 | 123.11 Mn |
| Jun 30, 2023 | 118.34 Mn |
| Mar 31, 2023 | 112.73 Mn |
| Dec 31, 2022 | 112.51 Mn |
| Sep 30, 2022 | 101.36 Mn |
| Jun 30, 2022 | 82.40 Mn |
| Mar 31, 2022 | 66.88 Mn |
| Dec 31, 2021 | 56.37 Mn |
| Sep 30, 2021 | 44.00 Mn |
API Access
Datadog Share-based Compensation API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=share-based-compensation&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "share-based-compensation", "ticker": "DDOG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=share-based-compensation&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();