Mistras (MG) Accumulated Expenses (2011 - 2026)
Mistras (MG) posted Accumulated Expenses of $84.46 million for Q2 2026, down 6.7% from $90.48 million a year earlier but up 8.1% from the prior quarter.
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Analysis
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%).
- Quarterly Accumulated Expenses has run from a low of $77.13 million in Q1 2023 to a high of $90.48 million in Q2 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 0.4%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 12.6%; the weakest was Q1 2026, with a decline of 8.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $78.11 million (Q1 2026), $88.03 million (Q4 2025) and $87.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Mistras | 671.16 Mn | 568.58 Mn | 56.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 87.47 Mn |
API Access
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_KEYimport 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();