Sterling Infrastructure (STRL) Return on Capital Employed [ROCE] (2011 - 2026)
Sterling Infrastructure's Return on Capital Employed [ROCE] came in at 35.48% for Q2 2026, up 11.63 percentage points from 23.85% a year earlier and up 5.47 percentage points from the prior quarter.
Sterling Infrastructure (STRL) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Sterling Infrastructure's Return on Capital Employed [ROCE] was 31.16%, up 8.25 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last four years, with a five-year change of +16.26 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 22.91% in FY2024 (+0.81 pp), 22.10% in FY2023 (+4.17 pp), 17.93% in FY2022 (+3.51 pp) and 14.42% in FY2021 (-0.47 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2011.
- Year-over-year, Return on Capital Employed [ROCE] has increased for 16 consecutive quarters, with an average year-over-year change of +4.57 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2026 (a gain of 11.63 percentage points), and the weakest in Q1 2022 (a drop of 3.74 percentage points).
- Business Quant data shows STRL's Return on Capital Employed [ROCE] at 30.01% (Q1 2026), 25.76% (Q4 2025) and 24.97% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 12.55% |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 41.90% |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 12.51% |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 35.48% |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 8.23% |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 41.31% |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 23.83% |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 10.51% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.48% |
| Mar 31, 2026 | 30.01% |
| Dec 31, 2025 | 25.76% |
| Sep 30, 2025 | 24.97% |
| Jun 30, 2025 | 23.85% |
| Mar 31, 2025 | 21.95% |
| Dec 31, 2024 | 20.70% |
| Sep 30, 2024 | 22.35% |
| Jun 30, 2024 | 21.28% |
| Mar 31, 2024 | 19.72% |
| Dec 31, 2023 | 19.19% |
| Sep 30, 2023 | 19.49% |
| Jun 30, 2023 | 19.26% |
| Mar 31, 2023 | 16.45% |
| Dec 31, 2022 | 15.58% |
| Sep 30, 2022 | 15.60% |
| Jun 30, 2022 | 14.08% |
| Mar 31, 2022 | 12.67% |
| Dec 31, 2021 | 13.41% |
| Sep 30, 2021 | 15.57% |
Sterling Infrastructure 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=STRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "STRL", "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=STRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();