Mistras (MG) Non Operating Interest Expenses (2010 - 2026)
Mistras (MG) posted Non Operating Interest Expenses of $3.45 million for Q3 2026, up 1.9% from $3.38 million a year earlier but down 16.7% from the prior quarter.
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Analysis
Mistras (MG) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Non Operating Interest Expenses at Mistras was $14.16 million, down 4.7% year-over-year; for FY2025, it came in at $14.64 million, down 14.2% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In prior years, Mistras' Non Operating Interest Expenses was $17.07 million in FY2024 (+1.8%), $16.76 million in FY2023 (+59.6%), $10.51 million in FY2022 (-3.5%) and $10.88 million in FY2021 (-16.0%).
- Quarterly Non Operating Interest Expenses has run from a low of $2.12 million in Q2 2022 to a high of $4.67 million in Q4 2023 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in 1 of the last eight quarters, with an average decline of 10.7%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q2 2023, with growth of 82.2%; the weakest was Q4 2021, with a decline of 38.3%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $4.14 million (Q2 2026), $2.88 million (Q1 2026) and $3.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 103.82 Mn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | - |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 10.67 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 45.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 6.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | - |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 23.64 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | Mistras | 642.16 Mn | 548.18 Mn | 62.04 Mn | 3.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.45 Mn |
| Jun 30, 2026 | 4.14 Mn |
| Mar 31, 2026 | 2.88 Mn |
| Dec 31, 2025 | 3.70 Mn |
| Sep 30, 2025 | 3.38 Mn |
| Jun 30, 2025 | 4.24 Mn |
| Mar 31, 2025 | 3.32 Mn |
| Dec 31, 2024 | 3.92 Mn |
| Sep 30, 2024 | 4.30 Mn |
| Jun 30, 2024 | 4.41 Mn |
| Mar 31, 2024 | 4.43 Mn |
| Dec 31, 2023 | 4.67 Mn |
| Sep 30, 2023 | 4.17 Mn |
| Jun 30, 2023 | 3.86 Mn |
| Mar 31, 2023 | 4.07 Mn |
| Dec 31, 2022 | 3.72 Mn |
| Sep 30, 2022 | 2.74 Mn |
| Jun 30, 2022 | 2.12 Mn |
| Dec 31, 2021 | 2.19 Mn |
| Sep 30, 2021 | 2.33 Mn |
API Access
Mistras Non Operating Interest 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=non-operating-interest-expenses&ticker=MG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();