Datadog (DDOG) Free Cash Flow (2018 - 2026)
Datadog's Free Cash Flow was $305.98 million in Q2 2026, up 65.5% from $184.9 million a year earlier but down 5.3% from the prior quarter.
Datadog (DDOG) Free Cash Flow (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Datadog's Free Cash Flow was $1.18 billion through Jun 30, 2026, up 27.7% year-over-year; for FY2025, it came in at $1 billion, up 19.7% from FY2024.
- Free Cash Flow has now increased for seven consecutive years, with a five-year compound annual growth rate of 57.4% (FY2020 to FY2025).
- In earlier years, Free Cash Flow was $835.88 million in FY2024 (+32.2%), $632.37 million in FY2023 (+65.0%), $383.15 million in FY2022 (+38.5%) and $276.59 million in FY2021 (+166.8%).
- Quarterly Free Cash Flow has moved between $64.06 million (Q3 2021) and $323.26 million (Q1 2026) over five years.
- Compared with a year earlier, Free Cash Flow has increased for 13 straight quarters, with growth averaging 30.0% over the last eight quarters.
- The best year-over-year quarter for Free Cash Flow over five years was Q4 2021 (growth of 398.4%); the worst was Q1 2023 (a decline of 9.3%).
- Per Business Quant data, DDOG's Free Cash Flow in the three quarters before Q2 2026 was $323.26 million (Q1 2026), $318.18 million (Q4 2025) and $234.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 1.25 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 405.86 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 965.60 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 83.80 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 305.98 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | -972,000.00 |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 139.41 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 233.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 2.18 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 305.98 Mn |
| Mar 31, 2026 | 323.26 Mn |
| Dec 31, 2025 | 318.18 Mn |
| Sep 30, 2025 | 234.68 Mn |
| Jun 30, 2025 | 184.90 Mn |
| Mar 31, 2025 | 262.79 Mn |
| Dec 31, 2024 | 257.47 Mn |
| Sep 30, 2024 | 220.30 Mn |
| Jun 30, 2024 | 160.01 Mn |
| Mar 31, 2024 | 198.11 Mn |
| Dec 31, 2023 | 209.83 Mn |
| Sep 30, 2023 | 146.67 Mn |
| Jun 30, 2023 | 150.82 Mn |
| Mar 31, 2023 | 125.05 Mn |
| Dec 31, 2022 | 104.39 Mn |
| Sep 30, 2022 | 73.91 Mn |
| Jun 30, 2022 | 66.97 Mn |
| Mar 31, 2022 | 137.87 Mn |
| Dec 31, 2021 | 113.39 Mn |
| Sep 30, 2021 | 64.06 Mn |
Datadog Free Cash Flow 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=free-cash-flow&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();