Mirion Technologies (MIR) Intangibles (2020 - 2026)
Mirion Technologies (MIR) posted Intangibles of $545.5 million for Q2 2026, up 44.6% from $377.2 million a year earlier but down 5.3% from the prior quarter.
Mirion Technologies (MIR) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, Mirion Technologies' Intangibles came in at $606.3 million, up 47.3% from FY2024.
- Annual Intangibles shows a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- In prior years, Mirion Technologies' Intangibles was $411.6 million in FY2024 (-23.6%), $538.8 million in FY2023 (-17.2%), $650.4 million in FY2022 (-19.4%) and $806.9 million in FY2021.
- Quarterly Intangibles has run from a low of $377.2 million in Q2 2025 to a high of $806.9 million in Q4 2021 over five years.
- On a year-over-year basis, Intangibles has increased in each of the last three quarters, with growth averaging 5.0% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was Q1 2026, with growth of 47.4%; the weakest was Q4 2024, with a decline of 23.6%.
- According to Business Quant data, Intangibles for the three prior quarters was $576 million (Q1 2026), $606.3 million (Q4 2025) and $381.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 4.51 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 | 63.37 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 311.77 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 221.11 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 80.64 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 334.24 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 13.08 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 545.50 Mn |
| 10 | Nuscale Power | 3.24 Bn | 3.19 Bn | -152,000.00 | 16.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 545.50 Mn |
| Mar 31, 2026 | 576.00 Mn |
| Dec 31, 2025 | 606.30 Mn |
| Sep 30, 2025 | 381.40 Mn |
| Jun 30, 2025 | 377.20 Mn |
| Mar 31, 2025 | 390.70 Mn |
| Dec 31, 2024 | 411.60 Mn |
| Sep 30, 2024 | 447.30 Mn |
| Jun 30, 2024 | 471.90 Mn |
| Mar 31, 2024 | 504.30 Mn |
| Dec 31, 2023 | 538.80 Mn |
| Sep 30, 2023 | 549.30 Mn |
| Jun 30, 2023 | 586.70 Mn |
| Mar 31, 2023 | 619.80 Mn |
| Dec 31, 2022 | 650.40 Mn |
| Sep 30, 2022 | 668.50 Mn |
| Jun 30, 2022 | 712.70 Mn |
| Mar 31, 2022 | 763.50 Mn |
| Dec 31, 2021 | 806.90 Mn |
| Jun 30, 2021 | 326.30 Mn |
Mirion Technologies Intangibles 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=intangibles&ticker=MIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=MIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();