Mistras (MG) Return on Sales [ROS] (2010 - 2026)
Mistras (MG) recorded Return on Sales [ROS] of 7.35% in Q3 2026, down 3.07 percentage points from 10.42% a year earlier but up 0.65 percentage points from the prior quarter.
Mistras (MG) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Mistras' Return on Sales [ROS] came in at 6.07% as of Sep 30, 2026, up 0.73 percentage points year-over-year; for FY2025, it was 5.60%, up 0.15 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +22.68 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 5.46% in FY2024 (+5.73 pp), -0.27% in FY2023 (-3.15 pp), 2.88% in FY2022 (+0.20 pp) and 2.68% in FY2021 (+19.76 pp).
- Quarterly Return on Sales [ROS] has ranged from -2.91% in Q1 2022 to 10.42% in Q3 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +0.96 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 9.10 percentage points in Q3 2024, against a drop of 7.72 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 6.70% (Q2 2026), 2.77% (Q1 2026) and 7.04% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 15.33% |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 20.63% |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 20.45% |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 7.91% |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 19.68% |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 4.26% |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 18.68% |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | Mistras | 642.16 Mn | 548.18 Mn | 62.04 Mn | 7.35% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.35% |
| Jun 30, 2026 | 6.70% |
| Mar 31, 2026 | 2.77% |
| Dec 31, 2025 | 7.04% |
| Sep 30, 2025 | 10.42% |
| Jun 30, 2025 | 4.55% |
| Mar 31, 2025 | -0.63% |
| Dec 31, 2024 | 6.05% |
| Sep 30, 2024 | 6.49% |
| Jun 30, 2024 | 6.30% |
| Mar 31, 2024 | 3.01% |
| Dec 31, 2023 | 0.39% |
| Sep 30, 2023 | -2.61% |
| Jun 30, 2023 | 2.21% |
| Mar 31, 2023 | -1.09% |
| Dec 31, 2022 | 3.45% |
| Sep 30, 2022 | 5.11% |
| Jun 30, 2022 | 5.35% |
| Mar 31, 2022 | -2.91% |
| Dec 31, 2021 | 1.35% |
Mistras Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=MG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();