Datadog (DDOG) Cash from Operations (2018 - 2026)
Datadog's Cash from Operations came in at $315.87 million for Q2 2026, up 57.9% from $200.06 million a year earlier but down 5.6% from the prior quarter.
Datadog (DDOG) Cash from Operations (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Datadog reported Cash from Operations of $1.23 billion, up 27.3% year-over-year; for FY2025, it came in at $1.05 billion, up 20.6% from FY2024.
- Cash from Operations has increased in each of the last seven years, with a five-year compound annual growth rate of 57.3% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $870.6 million in FY2024 (+31.9%), $659.95 million in FY2023 (+57.7%), $418.41 million in FY2022 (+46.0%) and $286.55 million in FY2021 (+162.7%).
- The five-year range for quarterly Cash from Operations is $67.38 million (Q3 2021) to $334.62 million (Q1 2026).
- Year-over-year, Cash from Operations has increased for 13 consecutive quarters, with growth averaging 29.3% over the last eight quarters.
- The fastest year-over-year change in Cash from Operations over five years came in Q4 2021 (growth of 386.0%), and the weakest in Q1 2023 (a decline of 9.2%).
- Business Quant data shows DDOG's Cash from Operations at $334.62 million (Q1 2026), $327.07 million (Q4 2025) and $251.47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 1.36 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 530.27 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 1.04 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 91.36 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 315.87 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 20.08 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 141.88 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 234.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 506.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 315.87 Mn |
| Mar 31, 2026 | 334.62 Mn |
| Dec 31, 2025 | 327.07 Mn |
| Sep 30, 2025 | 251.47 Mn |
| Jun 30, 2025 | 200.06 Mn |
| Mar 31, 2025 | 271.54 Mn |
| Dec 31, 2024 | 265.23 Mn |
| Sep 30, 2024 | 228.68 Mn |
| Jun 30, 2024 | 164.42 Mn |
| Mar 31, 2024 | 212.27 Mn |
| Dec 31, 2023 | 220.23 Mn |
| Sep 30, 2023 | 152.78 Mn |
| Jun 30, 2023 | 153.16 Mn |
| Mar 31, 2023 | 133.79 Mn |
| Dec 31, 2022 | 114.44 Mn |
| Sep 30, 2022 | 83.62 Mn |
| Jun 30, 2022 | 72.96 Mn |
| Mar 31, 2022 | 147.39 Mn |
| Dec 31, 2021 | 115.79 Mn |
| Sep 30, 2021 | 67.38 Mn |
Datadog Cash from Operations 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=cash-from-operations&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();