Datadog (DDOG) FCF Margin (2018 - 2026)
Datadog (DDOG) posted FCF Margin of 27.28% for Q2 2026, up 4.92 percentage points from 22.36% a year earlier but down 4.84 percentage points from the prior quarter.
Datadog (DDOG) FCF Margin (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, FCF Margin at Datadog was 29.80%, down 0.88 percentage points year-over-year; for FY2025, it was 29.19%, down 1.95 percentage points from FY2024.
- Annual FCF Margin shows a five-year change of +12.01 percentage points (FY2020 to FY2025).
- In prior years, Datadog's FCF Margin was 31.14% in FY2024 (+1.43 pp), 29.71% in FY2023 (+6.84 pp), 22.87% in FY2022 (-4.01 pp) and 26.89% in FY2021 (+9.70 pp).
- Quarterly FCF Margin has run from a low of 16.49% in Q2 2022 to a high of 37.98% in Q1 2022 over five years.
- On a year-over-year basis, FCF Margin increased in three of the last eight quarters, with an average year-over-year change of -0.04 percentage points.
- The strongest year-over-year quarter for FCF Margin in the past five years was Q4 2021, with a gain of 21.95 percentage points; the weakest was Q4 2022, with a drop of 12.52 percentage points.
- According to Business Quant data, FCF Margin for the three prior quarters was 32.12% (Q1 2026), 33.38% (Q4 2025) and 26.50% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 36.77% |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 27.59% |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 47.15% |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 5.42% |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 27.28% |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | -0.11% |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 18.06% |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 28.94% |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 47.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.28% |
| Mar 31, 2026 | 32.12% |
| Dec 31, 2025 | 33.38% |
| Sep 30, 2025 | 26.50% |
| Jun 30, 2025 | 22.36% |
| Mar 31, 2025 | 34.51% |
| Dec 31, 2024 | 34.90% |
| Sep 30, 2024 | 31.93% |
| Jun 30, 2024 | 24.80% |
| Mar 31, 2024 | 32.41% |
| Dec 31, 2023 | 35.59% |
| Sep 30, 2023 | 26.79% |
| Jun 30, 2023 | 29.60% |
| Mar 31, 2023 | 25.96% |
| Dec 31, 2022 | 22.24% |
| Sep 30, 2022 | 16.93% |
| Jun 30, 2022 | 16.49% |
| Mar 31, 2022 | 37.98% |
| Dec 31, 2021 | 34.76% |
| Sep 30, 2021 | 23.68% |
Datadog FCF Margin 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=fcf-margin&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();