Bentley Systems (BSY) Return on Capital Employed [ROCE] (2020 - 2026)
Bentley Systems (BSY) posted Return on Capital Employed [ROCE] of 14.73% for Q2 2026, up 1.83 percentage points from 12.90% a year earlier but down 0.02 percentage points from the prior quarter.
Bentley Systems (BSY) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Bentley Systems' Return on Capital Employed [ROCE] came in at 14.41%, up 2.54 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for four consecutive years, though with a five-year change of -10.84 percentage points (FY2020 to FY2025).
- In prior years, Bentley Systems' Return on Capital Employed [ROCE] was 11.87% in FY2024 (+2.58 pp), 9.29% in FY2023 (+0.15 pp), 9.13% in FY2022 (+1.85 pp) and 7.28% in FY2021 (-17.96 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of 4.16% in Q1 2022 to a high of 14.76% in Q1 2026 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last 16 quarters, with an average year-over-year change of +2.09 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2023, with a gain of 4.70 percentage points; the weakest was Q4 2021, with a drop of 18.54 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 14.76% (Q1 2026), 14.22% (Q4 2025) and 13.37% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | Bentley Systems | 9.73 Bn | 9.19 Bn | 336.74 Mn | 14.73% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.73% |
| Mar 31, 2026 | 14.76% |
| Dec 31, 2025 | 14.22% |
| Sep 30, 2025 | 13.37% |
| Jun 30, 2025 | 12.90% |
| Mar 31, 2025 | 13.04% |
| Dec 31, 2024 | 11.69% |
| Sep 30, 2024 | 10.95% |
| Jun 30, 2024 | 11.25% |
| Mar 31, 2024 | 10.27% |
| Dec 31, 2023 | 9.35% |
| Sep 30, 2023 | 9.46% |
| Jun 30, 2023 | 8.73% |
| Mar 31, 2023 | 8.87% |
| Dec 31, 2022 | 8.43% |
| Sep 30, 2022 | 8.44% |
| Jun 30, 2022 | 4.65% |
| Mar 31, 2022 | 4.16% |
| Dec 31, 2021 | 4.82% |
| Sep 30, 2021 | 5.54% |
Bentley Systems 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=BSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "BSY", "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=BSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();