Datadog (DDOG) Operating Margin (2018 - 2026)
Datadog (DDOG) reported Operating Margin of 6.24% for Q3 2026, up 6.90 percentage points from -0.66% a year earlier and up 5.75 percentage points from the prior quarter.
Datadog (DDOG) Operating Margin (2018 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Datadog's Operating Margin came in at 2.26%, up 3.64 percentage points year-over-year; for FY2025, it was -1.29%, down 3.32 percentage points from FY2024.
- Operating Margin has a five-year change of +0.99 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at 2.02% in FY2024 (+3.59 pp), -1.57% in FY2023 (+1.93 pp), -3.50% in FY2022 (-1.64 pp) and -1.86% in FY2021 (+0.42 pp).
- The Q3 2026 figure ranks as the highest quarterly Operating Margin in data going back to Q3 2018.
- Year over year, Operating Margin has now increased in each of the last three quarters, with an average year-over-year change of -0.39 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was Q4 2023 (a gain of 12.08 percentage points); the low point was Q1 2023 (a drop of 10.13 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 0.49% (Q2 2026), 0.73% (Q1 2026) and 0.98% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | -2.26% |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | -17.00% |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 33.89% |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 6.24% |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | -1.72% |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 13.29% |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 5.17% |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 3.68% |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 10.92% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.24% |
| Jun 30, 2026 | 0.49% |
| Mar 31, 2026 | 0.73% |
| Dec 31, 2025 | 0.98% |
| Sep 30, 2025 | -0.66% |
| Jun 30, 2025 | -4.29% |
| Mar 31, 2025 | -1.63% |
| Dec 31, 2024 | 1.27% |
| Sep 30, 2024 | 2.94% |
| Jun 30, 2024 | 1.96% |
| Mar 31, 2024 | 1.96% |
| Dec 31, 2023 | 4.70% |
| Sep 30, 2023 | -0.77% |
| Jun 30, 2023 | -4.32% |
| Mar 31, 2023 | -7.26% |
| Dec 31, 2022 | -7.38% |
| Sep 30, 2022 | -7.18% |
| Jun 30, 2022 | -0.77% |
| Mar 31, 2022 | 2.87% |
| Dec 31, 2021 | 2.59% |
Datadog Operating 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=operating-margin&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();