Datadog (DDOG) Cost of Revenue (2018 - 2026)
Datadog (DDOG) posted Cost of Revenue of $240.11 million for Q2 2026, up 44.7% from $165.98 million a year earlier and up 14.8% from the prior quarter.
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Analysis
Datadog (DDOG) Cost of Revenue (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Datadog was $812.69 million, up 34.2% year-over-year; for FY2025, it was $686.96 million, up 33.3% from FY2024.
- Annual Cost of Revenue has increased for eight consecutive years, with a five-year compound annual growth rate of 39.5% (FY2020 to FY2025).
- In prior years, Datadog's Cost of Revenue was $515.53 million in FY2024 (+25.8%), $409.91 million in FY2023 (+18.2%), $346.74 million in FY2022 (+48.0%) and $234.25 million in FY2021 (+79.9%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q3 2018.
- On a year-over-year basis, Cost of Revenue has increased in each of the last 24 quarters, with growth averaging 35.4% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 8.3% (Q4 2023) and 86.4% (Q3 2021) over the last five years.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $209.23 million (Q1 2026), $186.89 million (Q4 2025) and $176.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 357.94 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 202.01 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 164.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 2.82 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 240.11 Mn |
| Mar 31, 2026 | 209.23 Mn |
| Dec 31, 2025 | 186.89 Mn |
| Sep 30, 2025 | 176.46 Mn |
| Jun 30, 2025 | 165.98 Mn |
| Mar 31, 2025 | 157.63 Mn |
| Dec 31, 2024 | 144.18 Mn |
| Sep 30, 2024 | 137.76 Mn |
| Jun 30, 2024 | 123.50 Mn |
| Mar 31, 2024 | 110.10 Mn |
| Dec 31, 2023 | 104.83 Mn |
| Sep 30, 2023 | 103.32 Mn |
| Jun 30, 2023 | 101.85 Mn |
| Mar 31, 2023 | 99.91 Mn |
| Dec 31, 2022 | 96.76 Mn |
| Sep 30, 2022 | 93.60 Mn |
| Jun 30, 2022 | 81.93 Mn |
| Mar 31, 2022 | 74.46 Mn |
| Dec 31, 2021 | 67.15 Mn |
| Sep 30, 2021 | 63.33 Mn |
API Access
Datadog Cost of Revenue 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=cost-of-revenue&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();