Mistras (MG) Operating Expenses (2010 - 2026)
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Analysis
Mistras (MG) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 15.82 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 1.58 Bn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 866.81 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 568.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 261.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 1.22 Bn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | Mistras | 642.16 Mn | 548.18 Mn | 62.04 Mn | 49.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 49.84 Mn |
| Jun 30, 2026 | 46.69 Mn |
| Mar 31, 2026 | 43.68 Mn |
| Dec 31, 2025 | 42.26 Mn |
| Sep 30, 2025 | 41.45 Mn |
| Jun 30, 2025 | 49.11 Mn |
| Mar 31, 2025 | 45.04 Mn |
| Dec 31, 2024 | 37.82 Mn |
| Sep 30, 2024 | 41.68 Mn |
| Jun 30, 2024 | 43.33 Mn |
| Mar 31, 2024 | 44.65 Mn |
| Dec 31, 2023 | 36.56 Mn |
| Sep 30, 2023 | 49.28 Mn |
| Jun 30, 2023 | 49.44 Mn |
| Mar 31, 2023 | 51.68 Mn |
| Dec 31, 2022 | 49.26 Mn |
| Sep 30, 2022 | 47.25 Mn |
| Jun 30, 2022 | 47.00 Mn |
| Dec 31, 2021 | 50.20 Mn |
| Sep 30, 2021 | 46.16 Mn |
API Access
Mistras Operating Expenses 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=operating-expenses&ticker=MG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();