Mistras (MG) Accumulated Expenses (2011 - 2026)
Mistras (MG) posted Accumulated Expenses of $89.03 million for Q3 2026, up 1.3% from $87.86 million a year earlier and up 5.4% from the prior quarter.
Mistras (MG) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Mistras' Accumulated Expenses came in at $88.03 million, up 3.3% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- In prior years, Mistras' Accumulated Expenses was $85.23 million in FY2024 (+1.1%), $84.33 million in FY2023 (+8.3%), $77.84 million in FY2022 (-7.2%) and $83.86 million in FY2021 (+6.8%).
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses since Q2 2025.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with an average year-over-year change of 0.0%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2024, with growth of 9.5%; the weakest was Q1 2026, with a decline of 8.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $84.46 million (Q2 2026), $78.11 million (Q1 2026) and $88.03 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - |
| 10 | Mistras | 642.16 Mn | 548.18 Mn | 62.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 89.03 Mn |
| Jun 30, 2026 | 84.46 Mn |
| Mar 31, 2026 | 78.11 Mn |
| Dec 31, 2025 | 88.03 Mn |
| Sep 30, 2025 | 87.86 Mn |
| Jun 30, 2025 | 90.48 Mn |
| Mar 31, 2025 | 85.49 Mn |
| Dec 31, 2024 | 85.23 Mn |
| Sep 30, 2024 | 85.62 Mn |
| Jun 30, 2024 | 85.73 Mn |
| Mar 31, 2024 | 84.48 Mn |
| Dec 31, 2023 | 84.33 Mn |
| Sep 30, 2023 | 81.85 Mn |
| Jun 30, 2023 | 78.97 Mn |
| Mar 31, 2023 | 77.13 Mn |
| Dec 31, 2022 | 77.84 Mn |
| Sep 30, 2022 | 83.07 Mn |
| Jun 30, 2022 | 84.84 Mn |
| Dec 31, 2021 | 83.86 Mn |
| Sep 30, 2021 | 88.31 Mn |
Mistras Accumulated 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=accumulated-expenses&ticker=MG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();