Datadog (DDOG) Gross Margin (2018 - 2026)
Datadog's Gross Margin was 78.59% in Q2 2026, down 1.34 percentage points from 79.92% a year earlier and down 0.62 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 79.51% through Jun 30, 2026, down 0.41 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).
- The Q2 2026 figure marks the lowest quarterly Gross Margin since Q3 2022.
- Compared with a year earlier, Gross Margin has declined for three straight quarters, with an average year-over-year change of -0.99 percentage points over the last eight quarters.
- 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 Q2 2026 was 79.21% (Q1 2026), 80.39% (Q4 2025) and 80.08% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 67.57% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 74.57% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 80.24% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 67.02% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 78.59% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 79.63% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 60.42% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 0.03% |
| 10 | MongoDB | 28.08 Bn | 18.55 Bn | 569.77 Mn | 73.83% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 76.59% |
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();