Datadog (DDOG) Return on Capital Employed [ROCE] (2019 - 2026)
Datadog (DDOG) posted Return on Capital Employed [ROCE] of 1.64% for Q3 2026, up 2.60 percentage points from -0.96% a year earlier and up 1.33 percentage points from the prior quarter.
Datadog (DDOG) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Datadog's Return on Capital Employed [ROCE] came in at -0.96%, down 2.77 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +0.22 percentage points (FY2020 to FY2025).
- In prior years, Datadog's Return on Capital Employed [ROCE] was 1.81% in FY2024 (+3.17 pp), -1.36% in FY2023 (+1.68 pp), -3.04% in FY2022 (-1.84 pp) and -1.19% in FY2021 (-0.01 pp).
- The Q3 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in four of the last eight quarters, with an average year-over-year change of -0.41 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2024, with a gain of 6.92 percentage points; the weakest was Q2 2023, with a drop of 5.54 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 0.30% (Q2 2026), -0.48% (Q1 2026) and -0.93% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | -1.66% |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | -25.24% |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 41.17% |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 1.64% |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | -2.95% |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 3.21% |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 0.40% |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | -0.47% |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 13.02% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.64% |
| Jun 30, 2026 | 0.30% |
| Mar 31, 2026 | -0.48% |
| Dec 31, 2025 | -0.93% |
| Sep 30, 2025 | -0.96% |
| Jun 30, 2025 | -0.40% |
| Mar 31, 2025 | 0.74% |
| Dec 31, 2024 | 1.62% |
| Sep 30, 2024 | 2.65% |
| Jun 30, 2024 | 1.94% |
| Mar 31, 2024 | 0.44% |
| Dec 31, 2023 | -1.22% |
| Sep 30, 2023 | -3.71% |
| Jun 30, 2023 | -4.99% |
| Mar 31, 2023 | -4.53% |
| Dec 31, 2022 | -2.74% |
| Sep 30, 2022 | -0.76% |
| Jun 30, 2022 | 0.55% |
| Mar 31, 2022 | 0.22% |
| Dec 31, 2021 | -1.09% |
Datadog Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();