Matrix Service (MTRX) Return on Capital Employed [ROCE] (2011 - 2026)
Matrix Service's Return on Capital Employed [ROCE] was -5.75% in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 14.80 percentage points from -20.55% a year earlier and up 6.74 percentage points from the prior quarter.
Matrix Service (MTRX) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Return on Capital Employed [ROCE] at Matrix Service came in at -6.05%, up 33.16 percentage points from FY2025.
- Return on Capital Employed [ROCE] shows a five-year change of +6.86 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Capital Employed [ROCE] was -39.21% in FY2025 (-20.49 pp), -18.73% in FY2024 (+3.96 pp), -22.69% in FY2023 (+9.10 pp) and -31.79% in FY2022 (-18.88 pp).
- The fiscal Q4 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since fiscal Q3 2020.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for four straight quarters, with an average year-over-year change of +1.67 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q2 2024 (a gain of 28.58 percentage points); the worst was fiscal Q3 2022 (a drop of 24.07 percentage points).
- Per Business Quant data, MTRX's Return on Capital Employed [ROCE] in the three fiscal quarters before Q4 2026 was -12.49% (Q3 2026), -19.83% (Q2 2026) and -19.13% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.97 Bn | 81.16 Bn | 1.55 Bn | 12.55% |
| 2 | Ferrovial | 35.82 Bn | 16.13 Bn | - | - |
| 3 | Emcor | 29.22 Bn | 25.61 Bn | 1.02 Bn | 41.90% |
| 4 | Jacobs Solutions | 17.13 Bn | 11.78 Bn | 810.70 Mn | 8.23% |
| 5 | Mastec | 13.77 Bn | 12.68 Bn | 556.28 Mn | 12.51% |
| 6 | Sterling Infrastructure | 11.44 Bn | 9.80 Bn | 289.96 Mn | 35.48% |
| 7 | IES Holdings | 8.80 Bn | 7.66 Bn | 340.66 Mn | 41.31% |
| 8 | Stantec | 8.31 Bn | 7.24 Bn | 1.36 Bn | 28.75% |
| 9 | Aecom | 7.83 Bn | 3.16 Bn | -34.04 Mn | 10.51% |
| 10 | Matrix Service | 266.17 Mn | -581.09 Mn | 19.48 Mn | -5.75% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.75% |
| Mar 31, 2026 | -12.49% |
| Dec 31, 2025 | -19.83% |
| Sep 30, 2025 | -19.13% |
| Jun 30, 2025 | -20.55% |
| Mar 31, 2025 | -22.63% |
| Dec 31, 2024 | -24.44% |
| Sep 30, 2024 | -21.13% |
| Jun 30, 2024 | -16.68% |
| Mar 31, 2024 | -16.08% |
| Dec 31, 2023 | -13.66% |
| Sep 30, 2023 | -24.12% |
| Jun 30, 2023 | -23.43% |
| Mar 31, 2023 | -30.61% |
| Dec 31, 2022 | -42.24% |
| Sep 30, 2022 | -26.62% |
| Jun 30, 2022 | -35.26% |
| Mar 31, 2022 | -34.89% |
| Dec 31, 2021 | -25.04% |
| Sep 30, 2021 | -20.03% |
Matrix Service 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=MTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MTRX", "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=MTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();