Mistras (MG) Total Liabilities (2011 - 2026)
Mistras (MG) posted Total Liabilities of $349.06 million for Q3 2026, down 5.3% from $368.43 million a year earlier but up 1.5% 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 $371.14 million in Q1 2022 over five years.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with an average decline of 0.7%.
- 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 $343.95 million (Q2 2026), $339.07 million (Q1 2026) and $343.14 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 40.87 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 23.71 Bn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 1.97 Bn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 6.79 Bn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 1.95 Bn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 7.19 Bn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | Mistras | 642.16 Mn | 548.18 Mn | 62.04 Mn | 349.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 349.06 Mn |
| 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 |
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();