Datadog (DDOG) Gross Profit (2018 - 2026)
Datadog's Gross Profit was $881.34 million in Q2 2026, up 33.4% from $660.78 million a year earlier and up 10.6% from the prior quarter.
Datadog (DDOG) Gross Profit (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Datadog's Gross Profit was $3.15 billion through Jun 30, 2026, up 30.8% year-over-year; for FY2025, it came in at $2.74 billion, up 26.3% from FY2024.
- Gross Profit has now increased for eight consecutive years, with a five-year compound annual growth rate of 42.1% (FY2020 to FY2025).
- In earlier years, Gross Profit was $2.17 billion in FY2024 (+26.2%), $1.72 billion in FY2023 (+29.4%), $1.33 billion in FY2022 (+67.2%) and $794.54 million in FY2021 (+67.9%).
- The Q2 2026 figure marks the highest quarterly Gross Profit in data going back to Q3 2018.
- Compared with a year earlier, Gross Profit has increased for 24 straight quarters, with growth averaging 27.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Gross Profit ran from 20.5% in Q1 2025 to 90.0% in Q1 2022.
- Per Business Quant data, DDOG's Gross Profit in the three quarters before Q2 2026 was $797.2 million (Q1 2026), $766.3 million (Q4 2025) and $709.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 881.34 Mn |
| Mar 31, 2026 | 797.20 Mn |
| Dec 31, 2025 | 766.30 Mn |
| Sep 30, 2025 | 709.19 Mn |
| Jun 30, 2025 | 660.78 Mn |
| Mar 31, 2025 | 603.93 Mn |
| Dec 31, 2024 | 593.55 Mn |
| Sep 30, 2024 | 552.26 Mn |
| Jun 30, 2024 | 521.78 Mn |
| Mar 31, 2024 | 501.16 Mn |
| Dec 31, 2023 | 484.82 Mn |
| Sep 30, 2023 | 444.22 Mn |
| Jun 30, 2023 | 407.61 Mn |
| Mar 31, 2023 | 381.80 Mn |
| Dec 31, 2022 | 372.64 Mn |
| Sep 30, 2022 | 342.93 Mn |
| Jun 30, 2022 | 324.21 Mn |
| Mar 31, 2022 | 288.57 Mn |
| Dec 31, 2021 | 259.05 Mn |
| Sep 30, 2021 | 207.16 Mn |
Datadog Gross Profit 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=gross-profit&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();