Datadog (DDOG) EBITDA Margin (2018 - 2026)
Datadog (DDOG) reported EBITDA Margin of 9.97% for Q3 2026, up 6.97 percentage points from 3.00% a year earlier and up 5.77 percentage points from the prior quarter.
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Analysis
Datadog (DDOG) EBITDA Margin (2018 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Datadog's EBITDA Margin came in at 6.00%, up 3.73 percentage points year-over-year; for FY2025, it came in at 2.28%, down 3.73 percentage points from FY2024.
- EBITDA Margin has a five-year change of -1.10 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at 6.01% in FY2024 (+3.65 pp), 2.36% in FY2023 (+2.12 pp), 0.24% in FY2022 (-1.87 pp) and 2.11% in FY2021 (-1.27 pp).
- The Q3 2026 figure ranks as the highest quarterly EBITDA Margin in data going back to Q4 2018.
- Year over year, EBITDA Margin has now increased in each of the last three quarters, with an average year-over-year change of -0.50 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was Q4 2023 (a gain of 12.18 percentage points); the low point was Q4 2022 (a drop of 9.91 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 4.19% (Q2 2026), 4.53% (Q1 2026) and 4.69% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 20.32% |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 11.58% |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | -8.70% |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 40.56% |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 9.97% |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 10.44% |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 20.62% |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 8.76% |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 4.58% |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 11.87% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.97% |
| Jun 30, 2026 | 4.19% |
| Mar 31, 2026 | 4.53% |
| Dec 31, 2025 | 4.69% |
| Sep 30, 2025 | 3.00% |
| Jun 30, 2025 | -0.82% |
| Mar 31, 2025 | 1.80% |
| Dec 31, 2024 | 5.33% |
| Sep 30, 2024 | 6.91% |
| Jun 30, 2024 | 5.82% |
| Mar 31, 2024 | 6.01% |
| Dec 31, 2023 | 8.61% |
| Sep 30, 2023 | 3.21% |
| Jun 30, 2023 | -0.40% |
| Mar 31, 2023 | -3.33% |
| Dec 31, 2022 | -3.57% |
| Sep 30, 2022 | -3.37% |
| Jun 30, 2022 | 2.85% |
| Mar 31, 2022 | 6.56% |
| Dec 31, 2021 | 6.34% |
API Access
Datadog EBITDA 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=ebitda-margin&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();