Myr (MYRG) Return on Capital Employed [ROCE] (2011 - 2026)
Myr's Return on Capital Employed [ROCE] came in at 24.99% for Q2 2026, up 9.18 percentage points from 15.81% a year earlier and up 1.25 percentage points from the prior quarter.
Myr (MYRG) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Myr's Return on Capital Employed [ROCE] was 21.64%, up 15.42 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +6.14 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 6.22% in FY2024 (-11.19 pp), 17.41% in FY2023 (-1.97 pp), 19.38% in FY2022 (-1.80 pp) and 21.18% in FY2021 (+5.68 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2011.
- Year-over-year, Return on Capital Employed [ROCE] has increased for five consecutive quarters, with an average year-over-year change of +3.87 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2026 (a gain of 15.38 percentage points), and the weakest in Q4 2024 (a drop of 9.53 percentage points).
- Business Quant data shows MYRG's Return on Capital Employed [ROCE] at 23.74% (Q1 2026), 19.65% (Q4 2025) and 18.46% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 12.55% |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | - |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 41.90% |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 8.23% |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 12.51% |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 35.48% |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 41.31% |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 28.75% |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | 10.51% |
| 10 | Myr | 4.27 Bn | 3.75 Bn | 142.67 Mn | 24.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.99% |
| Mar 31, 2026 | 23.74% |
| Dec 31, 2025 | 19.65% |
| Sep 30, 2025 | 18.46% |
| Jun 30, 2025 | 15.81% |
| Mar 31, 2025 | 8.36% |
| Dec 31, 2024 | 6.16% |
| Sep 30, 2024 | 7.40% |
| Jun 30, 2024 | 8.71% |
| Mar 31, 2024 | 14.84% |
| Dec 31, 2023 | 15.69% |
| Sep 30, 2023 | 16.67% |
| Jun 30, 2023 | 16.98% |
| Mar 31, 2023 | 15.56% |
| Dec 31, 2022 | 16.48% |
| Sep 30, 2022 | 15.26% |
| Jun 30, 2022 | 16.82% |
| Mar 31, 2022 | 17.45% |
| Dec 31, 2021 | 19.96% |
| Sep 30, 2021 | 18.93% |
Myr 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=MYRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MYRG", "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=MYRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();