Dynatrace (DT) Return on Capital Employed [ROCE] (2019 - 2026)
Dynatrace's Return on Capital Employed [ROCE] came in at 8.98% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.04 percentage points from 6.94% a year earlier but down 0.15 percentage points from the prior quarter.
Dynatrace (DT) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Dynatrace's Return on Capital Employed [ROCE] was 9.06%, up 1.56 percentage points from FY2025.
- Return on Capital Employed [ROCE] has increased in each of the last four fiscal years, with a five-year change of +2.95 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 7.50% in FY2025 (+0.48 pp), 7.02% in FY2024 (+1.28 pp), 5.74% in FY2023 (+0.44 pp) and 5.30% in FY2022 (-0.81 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is 4.56% (fiscal Q1 2023) to 9.13% (fiscal Q4 2026).
- Year-over-year, Return on Capital Employed [ROCE] has increased for six consecutive quarters, with an average year-over-year change of +1.12 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q3 2026 (a gain of 2.23 percentage points), and the weakest in fiscal Q1 2023 (a drop of 0.88 percentage points).
- Business Quant data shows DT's Return on Capital Employed [ROCE] at 9.13% (Q4 2026), 8.66% (Q3 2026) and 7.72% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | Dynatrace | 17.22 Bn | 12.43 Bn | 451.10 Mn | 8.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.98% |
| Mar 31, 2026 | 9.13% |
| Dec 31, 2025 | 8.66% |
| Sep 30, 2025 | 7.72% |
| Jun 30, 2025 | 6.94% |
| Mar 31, 2025 | 7.02% |
| Dec 31, 2024 | 6.43% |
| Sep 30, 2024 | 6.59% |
| Jun 30, 2024 | 5.96% |
| Mar 31, 2024 | 6.60% |
| Dec 31, 2023 | 6.45% |
| Sep 30, 2023 | 6.47% |
| Jun 30, 2023 | 5.85% |
| Mar 31, 2023 | 5.98% |
| Dec 31, 2022 | 5.73% |
| Sep 30, 2022 | 4.56% |
| Jun 30, 2022 | 4.56% |
| Mar 31, 2022 | 5.07% |
| Dec 31, 2021 | 5.26% |
| Sep 30, 2021 | 5.35% |
Dynatrace 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=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DT", "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=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();