Mistras (MG) Total Liabilities (2011 - 2026)
Mistras (MG) posted Total Liabilities of $343.95 million for Q2 2026, down 3.1% from $354.87 million a year earlier but up 1.4% from the prior quarter.
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Analysis
Mistras (MG) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Mistras' Total Liabilities came in at $343.14 million, up 5.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- In prior years, Mistras' Total Liabilities was $324.14 million in FY2024 (-5.8%), $344.27 million in FY2023 (+2.4%), $336.16 million in FY2022 (-7.0%) and $361.28 million in FY2021 (-6.4%).
- Quarterly Total Liabilities has run from a low of $324.14 million in Q4 2024 to a high of $386.2 million in Q3 2021 over five years.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with an average decline of 0.3%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2025, with growth of 6.4%; the weakest was Q1 2023, with a decline of 9.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $339.07 million (Q1 2026), $343.14 million (Q4 2025) and $368.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Mistras | 680.08 Mn | 577.50 Mn | 56.45 Mn | 343.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 343.95 Mn |
| Mar 31, 2026 | 339.07 Mn |
| Dec 31, 2025 | 343.14 Mn |
| Sep 30, 2025 | 368.43 Mn |
| Jun 30, 2025 | 354.87 Mn |
| Mar 31, 2025 | 327.79 Mn |
| Dec 31, 2024 | 324.14 Mn |
| Sep 30, 2024 | 346.14 Mn |
| Jun 30, 2024 | 354.67 Mn |
| Mar 31, 2024 | 354.66 Mn |
| Dec 31, 2023 | 344.27 Mn |
| Sep 30, 2023 | 350.91 Mn |
| Jun 30, 2023 | 340.41 Mn |
| Mar 31, 2023 | 334.67 Mn |
| Dec 31, 2022 | 336.16 Mn |
| Sep 30, 2022 | 353.39 Mn |
| Jun 30, 2022 | 361.28 Mn |
| Mar 31, 2022 | 371.14 Mn |
| Dec 31, 2021 | 361.28 Mn |
| Sep 30, 2021 | 386.20 Mn |
API Access
Mistras Total Liabilities 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=total-liabilities&ticker=MG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();