Mistras (MG) Return on Capital Employed [ROCE] (2011 - 2026)
Mistras (MG) posted Return on Capital Employed [ROCE] of 11.26% for Q2 2026, up 4.19 percentage points from 7.07% a year earlier and up 1.18 percentage points from the prior quarter.
Mistras (MG) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Mistras' Return on Capital Employed [ROCE] came in at 9.51%, down 0.11 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +28.19 percentage points (FY2020 to FY2025).
- In prior years, Mistras' Return on Capital Employed [ROCE] was 9.62% in FY2024 (+10.08 pp), -0.46% in FY2023 (-4.91 pp), 4.45% in FY2022 (+0.43 pp) and 4.03% in FY2021 (+22.71 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2017.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in seven of the last eight quarters, with an average year-over-year change of +4.22 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2021, with a gain of 25.44 percentage points; the weakest was Q4 2023, with a drop of 5.02 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 10.08% (Q1 2026), 8.76% (Q4 2025) and 8.36% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 33.88% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 8.75% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 7.98% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 31.56% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 25.89% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 29.65% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Mistras | 657.46 Mn | 554.88 Mn | 56.45 Mn | 11.26% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.26% |
| Mar 31, 2026 | 10.08% |
| Dec 31, 2025 | 8.76% |
| Sep 30, 2025 | 8.36% |
| Jun 30, 2025 | 7.07% |
| Mar 31, 2025 | 8.17% |
| Dec 31, 2024 | 9.43% |
| Sep 30, 2024 | 6.92% |
| Jun 30, 2024 | 3.14% |
| Mar 31, 2024 | 1.29% |
| Dec 31, 2023 | -0.46% |
| Sep 30, 2023 | 0.74% |
| Jun 30, 2023 | 3.98% |
| Mar 31, 2023 | 5.27% |
| Dec 31, 2022 | 4.56% |
| Sep 30, 2022 | 3.70% |
| Jun 30, 2022 | 3.78% |
| Mar 31, 2022 | 4.15% |
| Dec 31, 2021 | 4.01% |
| Sep 30, 2021 | 4.45% |
Mistras 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=MG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MG", "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=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();