Mistras (MG) EBITDA (2010 - 2026)
Mistras (MG) posted EBITDA of $23.91 million for Q3 2026, down 14.8% from $28.07 million a year earlier but up 12.7% from the prior quarter.
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Analysis
Mistras (MG) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Mistras was $78.41 million, up 12.5% year-over-year; for FY2025, it came in at $71.58 million, down 1.7% from FY2024.
- In prior years, Mistras' EBITDA was $72.84 million in FY2024 (+126.2%), $32.2 million in FY2023 (-39.4%), $53.09 million in FY2022 (unchanged) and $53.09 million in FY2021.
- Quarterly EBITDA has run from a low of $4.07 million in Q3 2023 to a high of $28.07 million in Q3 2025 over five years.
- On a year-over-year basis, EBITDA increased in five of the last eight quarters, with growth averaging 23.0%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2024, with growth of 389.8%; the weakest was Q3 2023, with a decline of 76.5%.
- According to Business Quant data, EBITDA for the three prior quarters was $21.22 million (Q2 2026), $12.67 million (Q1 2026) and $20.62 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 3.47 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 711.62 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 256.13 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 306.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 211.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 327.51 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | Mistras | 642.16 Mn | 548.18 Mn | 62.04 Mn | 23.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.91 Mn |
| Jun 30, 2026 | 21.22 Mn |
| Mar 31, 2026 | 12.67 Mn |
| Dec 31, 2025 | 20.62 Mn |
| Sep 30, 2025 | 28.07 Mn |
| Jun 30, 2025 | 16.14 Mn |
| Mar 31, 2025 | 6.75 Mn |
| Dec 31, 2024 | 18.74 Mn |
| Sep 30, 2024 | 19.91 Mn |
| Jun 30, 2024 | 20.25 Mn |
| Mar 31, 2024 | 13.93 Mn |
| Dec 31, 2023 | 9.34 Mn |
| Sep 30, 2023 | 4.07 Mn |
| Jun 30, 2023 | 12.20 Mn |
| Mar 31, 2023 | 6.58 Mn |
| Dec 31, 2022 | 13.96 Mn |
| Sep 30, 2022 | 17.31 Mn |
| Jun 30, 2022 | 17.70 Mn |
| Mar 31, 2022 | 4.11 Mn |
| Dec 31, 2021 | 11.52 Mn |
API Access
Mistras EBITDA 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=ebitda&ticker=MG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();