Mistras (MG) Total Non-Current Liabilities (2011 - 2026)
Mistras (MG) recorded Total Non-Current Liabilities of $309.36 million in Q2 2026, down 4.2% from $322.95 million a year earlier but up 1.5% from the prior quarter.
Mistras (MG) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Mistras reported Total Non-Current Liabilities of $308.06 million, up 6.2% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $290.12 million in FY2024 (-7.0%), $311.84 million in FY2023 (+2.6%), $303.88 million in FY2022 (-5.6%) and $321.96 million in FY2021 (-5.0%).
- Quarterly Total Non-Current Liabilities has ranged from $290.12 million in Q4 2024 to $342.49 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last eight quarters, with an average decline of 0.3%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 7.6% in Q3 2025, against a decline of 8.3% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $304.74 million (Q1 2026), $308.06 million (Q4 2025) and $332.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | -6.00 Mn |
| 10 | Mistras | 680.08 Mn | 577.50 Mn | 56.45 Mn | 309.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 309.36 Mn |
| Mar 31, 2026 | 304.74 Mn |
| Dec 31, 2025 | 308.06 Mn |
| Sep 30, 2025 | 332.54 Mn |
| Jun 30, 2025 | 322.95 Mn |
| Mar 31, 2025 | 295.02 Mn |
| Dec 31, 2024 | 290.12 Mn |
| Sep 30, 2024 | 309.09 Mn |
| Jun 30, 2024 | 317.67 Mn |
| Mar 31, 2024 | 317.68 Mn |
| Dec 31, 2023 | 311.84 Mn |
| Sep 30, 2023 | 317.54 Mn |
| Jun 30, 2023 | 308.37 Mn |
| Mar 31, 2023 | 304.24 Mn |
| Dec 31, 2022 | 303.88 Mn |
| Sep 30, 2022 | 319.53 Mn |
| Jun 30, 2022 | 324.55 Mn |
| Mar 31, 2022 | 331.91 Mn |
| Dec 31, 2021 | 321.96 Mn |
| Sep 30, 2021 | 342.49 Mn |
Mistras Total Non-Current 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-non-current-liabilities&ticker=MG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();