Mirion Technologies (MIR) EV to EBITDA (2021 - 2026)
Mirion Technologies' (MIR) EV to EBITDA came in at 19.63 for Q2 2026, down 20.9% from 24.82 a year earlier and down 10.5% from the prior quarter.
Mirion Technologies (MIR) EV to EBITDA (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Mirion Technologies was 11.11, down 49.9% year-over-year; for FY2025, it came in at 26.51, up 34.4% from FY2024.
- In prior years, Mirion Technologies' EV to EBITDA was 19.72 in FY2024 (+42.5%), 13.84 in FY2023 and 9.24 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly EV to EBITDA since Q1 2025.
- On a year-over-year basis, EV to EBITDA increased in six of the last seven quarters, with growth averaging 36.1%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 21.92 (Q1 2026), 26.51 (Q4 2025) and 22.61 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn |
| 10 | Nuscale Power | 3.24 Bn | 3.19 Bn | -152,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.63 |
| Mar 31, 2026 | 21.92 |
| Dec 31, 2025 | 26.51 |
| Sep 30, 2025 | 22.61 |
| Jun 30, 2025 | 24.82 |
| Mar 31, 2025 | 17.09 |
| Dec 31, 2024 | 19.72 |
| Sep 30, 2024 | 13.40 |
| Jun 30, 2024 | 13.37 |
| Mar 31, 2024 | 15.03 |
| Dec 31, 2023 | 13.84 |
| Sep 30, 2022 | 124.52 |
| Mar 31, 2022 | 43.92 |
| Dec 31, 2021 | 51.76 |
Mirion Technologies 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=MIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "MIR", "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=MIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();