Mistras (MG) Short-Term Debt repayments (2010 - 2026)
Mistras' Short-Term Debt repayments was $26.1 million in Q3 2026, up 137.3% from $11 million a year earlier and up 80.0% from the prior quarter.
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Analysis
Mistras (MG) Short-Term Debt repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mistras' Short-Term Debt repayments was $81.6 million through Sep 30, 2026, up 17.9% year-over-year; for FY2025, it was $61.9 million, down 25.9% from FY2024.
- Short-Term Debt repayments shows a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In earlier years, Short-Term Debt repayments was $83.5 million in FY2024 (+8.3%), $77.1 million in FY2023 (-68.8%), $246.75 million in FY2022 (+177.0%) and $89.07 million in FY2021 (+30.9%).
- Quarterly Short-Term Debt repayments has moved between $5 million (Q1 2024) and $165.5 million (Q3 2022) over five years.
- Compared with a year earlier, Short-Term Debt repayments was higher in four of the last eight quarters, with growth averaging 43.4%.
- The best year-over-year quarter for Short-Term Debt repayments over five years was Q3 2022 (growth of 568.7%); the worst was Q3 2023 (a decline of 95.3%).
- Per Business Quant data, MG's Short-Term Debt repayments in the three quarters before Q3 2026 was $14.5 million (Q2 2026), $12.5 million (Q1 2026) and $28.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (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 | 26.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.10 Mn |
| Jun 30, 2026 | 14.50 Mn |
| Mar 31, 2026 | 12.50 Mn |
| Dec 31, 2025 | 28.50 Mn |
| Sep 30, 2025 | 11.00 Mn |
| Jun 30, 2025 | 8.15 Mn |
| Mar 31, 2025 | 14.25 Mn |
| Dec 31, 2024 | 35.80 Mn |
| Sep 30, 2024 | 27.45 Mn |
| Jun 30, 2024 | 15.25 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | 19.25 Mn |
| Sep 30, 2023 | 7.75 Mn |
| Jun 30, 2023 | 23.00 Mn |
| Mar 31, 2023 | 27.10 Mn |
| Dec 31, 2022 | 33.00 Mn |
| Sep 30, 2022 | 165.50 Mn |
| Jun 30, 2022 | 32.75 Mn |
| Mar 31, 2022 | 15.50 Mn |
| Dec 31, 2021 | 26.82 Mn |
API Access
Mistras Short-Term Debt repayments 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=short-term-debt-repayments&ticker=MG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();