Mirion Technologies (MIR) Operating Expenses (2020 - 2026)
Mirion Technologies (MIR) posted Operating Expenses of $115.2 million for Q2 2026, up 24.4% from $92.6 million a year earlier but down 0.2% from the prior quarter.
Mirion Technologies (MIR) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Mirion Technologies was $437.7 million, up 19.0% year-over-year; for FY2025, it was $387.1 million, up 3.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 175.3% (FY2020 to FY2025).
- In prior years, Mirion Technologies' Operating Expenses was $374.9 million in FY2024 (-0.9%), $378.3 million in FY2023 (-37.8%), $607.9 million in FY2022 and $240.6 million in FY2021.
- Quarterly Operating Expenses has run from a low of $76.8 million in Q4 2021 to a high of $258.9 million in Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last four quarters, with growth averaging 8.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 237.1%; the weakest was Q4 2023, with a decline of 63.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $115.4 million (Q1 2026), $110 million (Q4 2025) and $97.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.94 Bn | 214.01 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 77.11 Bn | 68.94 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.59 Bn | 9.54 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.31 Bn | 10.61 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.11 Bn | 10.94 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 12.00 Bn | 7.89 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.46 Bn | 4.66 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.08 Bn | -774.96 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.40 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Nuscale Power | 3.25 Bn | 3.20 Bn | -152,000.00 | 45.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.20 Mn |
| Mar 31, 2026 | 115.40 Mn |
| Dec 31, 2025 | 110.00 Mn |
| Sep 30, 2025 | 97.10 Mn |
| Jun 30, 2025 | 92.60 Mn |
| Mar 31, 2025 | 87.40 Mn |
| Dec 31, 2024 | 93.30 Mn |
| Sep 30, 2024 | 94.50 Mn |
| Jun 30, 2024 | 95.10 Mn |
| Mar 31, 2024 | 92.00 Mn |
| Dec 31, 2023 | 95.10 Mn |
| Sep 30, 2023 | 91.90 Mn |
| Jun 30, 2023 | 98.60 Mn |
| Mar 31, 2023 | 92.70 Mn |
| Dec 31, 2022 | 258.90 Mn |
| Sep 30, 2022 | 97.40 Mn |
| Jun 30, 2022 | 153.60 Mn |
| Mar 31, 2022 | 98.00 Mn |
| Dec 31, 2021 | 76.80 Mn |
| Sep 30, 2021 | 70.80 Mn |
Mirion Technologies Operating 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=operating-expenses&ticker=MIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();