Datadog (DDOG) Gross Margin (2018 - 2026)
Datadog's Gross Margin was 80.19% in Q3 2026, up 0.11 percentage points from 80.08% a year earlier and up 1.60 percentage points from the prior quarter.
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Analysis
Datadog (DDOG) Gross Margin (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Datadog's Gross Margin was 79.58% through Sep 30, 2026, down 0.36 percentage points year-over-year; for FY2025, it came in at 79.96%, down 0.84 percentage points from FY2024.
- Gross Margin shows a five-year change of +1.53 percentage points (FY2020 to FY2025).
- In earlier years, Gross Margin was 80.79% in FY2024 (+0.05 pp), 80.74% in FY2023 (+1.44 pp), 79.30% in FY2022 (+2.07 pp) and 77.23% in FY2021 (-1.19 pp).
- Quarterly Gross Margin has moved between 78.56% (Q3 2022) and 82.22% (Q4 2023) over five years.
- Compared with a year earlier, Gross Margin was higher in two of the last eight quarters, with an average year-over-year change of -0.84 percentage points.
- The best year-over-year quarter for Gross Margin over five years was Q2 2022 (a gain of 4.28 percentage points); the worst was Q1 2025 (a drop of 2.69 percentage points).
- Per Business Quant data, DDOG's Gross Margin in the three quarters before Q3 2026 was 78.59% (Q2 2026), 79.21% (Q1 2026) and 80.39% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 67.57% |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 74.57% |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 67.02% |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 78.95% |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 80.19% |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 76.73% |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 79.63% |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 60.42% |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 73.83% |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 43.18% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 80.19% |
| Jun 30, 2026 | 78.59% |
| Mar 31, 2026 | 79.21% |
| Dec 31, 2025 | 80.39% |
| Sep 30, 2025 | 80.08% |
| Jun 30, 2025 | 79.92% |
| Mar 31, 2025 | 79.30% |
| Dec 31, 2024 | 80.46% |
| Sep 30, 2024 | 80.04% |
| Jun 30, 2024 | 80.86% |
| Mar 31, 2024 | 81.99% |
| Dec 31, 2023 | 82.22% |
| Sep 30, 2023 | 81.13% |
| Jun 30, 2023 | 80.01% |
| Mar 31, 2023 | 79.26% |
| Dec 31, 2022 | 79.39% |
| Sep 30, 2022 | 78.56% |
| Jun 30, 2022 | 79.83% |
| Mar 31, 2022 | 79.49% |
| Dec 31, 2021 | 79.41% |
API Access
Datadog Gross 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=gross-margin&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();