Datadog (DDOG) Return on Capital Employed [ROCE] (2019 - 2026)
Datadog (DDOG) posted Return on Capital Employed [ROCE] of 0.30% for Q2 2026, up 0.70 percentage points from -0.40% a year earlier and up 0.78 percentage points from the prior quarter.
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Analysis
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 Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- 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 +0.06 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 -0.48% (Q1 2026), -0.93% (Q4 2025) and -0.96% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 0.30% |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 0.40% |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | -0.47% |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 3.21% |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | -1.83% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -2.16% |
API Access
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_KEYimport 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();