Mistras Group, Inc. (MG) EV to EBITDA (2011 - 2026)
Mistras' EV to EBITDA came in at 6.48 for Q2 2026, up 71.0% from 3.79 a year earlier and up 12.6% from the prior quarter.
Powered by 
Analysis
Mistras Group, Inc. (MG) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mistras reported EV to EBITDA of 5.50, up 92.5% year-over-year; for FY2025, it was 5.20, up 43.9% from FY2024.
- Going back by year, EV to EBITDA was 3.61 in FY2024 (-43.7%), 6.42 in FY2023 (+167.9%), 2.40 in FY2022 (-35.0%) and 3.69 in FY2021.
- The Q2 2026 figure represents the highest quarterly EV to EBITDA since Q1 2024.
- Year-over-year, EV to EBITDA has increased for three consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- The fastest year-over-year change in EV to EBITDA over five years came in Q4 2023 (growth of 168.0%), and the weakest in Q1 2022 (a decline of 57.3%).
- Business Quant data shows MG's EV to EBITDA at 5.75 (Q1 2026), 5.20 (Q4 2025) and 4.06 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.48 |
| Mar 31, 2026 | 5.75 |
| Dec 31, 2025 | 5.20 |
| Sep 30, 2025 | 4.06 |
| Jun 30, 2025 | 3.79 |
| Mar 31, 2025 | 4.77 |
| Dec 31, 2024 | 3.61 |
| Sep 30, 2024 | 5.24 |
| Jun 30, 2024 | 5.04 |
| Mar 31, 2024 | 7.06 |
| Dec 31, 2023 | 6.42 |
| Sep 30, 2023 | 4.16 |
| Jun 30, 2023 | 4.32 |
| Mar 31, 2023 | 3.39 |
| Dec 31, 2022 | 2.40 |
| Sep 30, 2022 | 2.28 |
| Jun 30, 2022 | 3.11 |
| Mar 31, 2022 | 3.31 |
| Dec 31, 2021 | 3.69 |
| Sep 30, 2021 | 5.02 |
API Access
Mistras Group, Inc. EV to 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=ev-to-ebitda&ticker=MG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();