Mirion Technologies (MIR) Shares Outstanding (Diluted) (2019 - 2026)
Mirion Technologies' Weighted Average Shares Outstanding (Diluted) was 275.07 million in Q3 2026, up 7.6% from 255.66 million a year earlier and unchanged from the prior quarter.
Mirion Technologies (MIR) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Mirion Technologies came in at 261.15 million, up 27.4% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now increased for four consecutive years, with a five-year compound annual growth rate of 109.6% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 204.99 million in FY2024 (+4.4%), 196.37 million in FY2023 (+8.4%), 181.15 million in FY2022 (+0.2%) and 180.77 million in FY2021.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for 16 straight quarters, with growth averaging 14.7% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 0.2% (Q4 2022) and 27.4% (Q4 2025) over the last five years.
- Per Business Quant data, MIR's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 275.07 million (Q2 2026), 244.66 million (Q1 2026) and 261.15 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 210.90 Bn | 163.15 Bn | 3.11 Bn | 268.00 Mn |
| 2 | Bloom Energy | 54.82 Bn | 44.75 Bn | 417.10 Mn | 324.29 Mn |
| 3 | First Solar | 19.45 Bn | 10.82 Bn | 713.06 Mn | 107.70 Mn |
| 4 | Nextpower | 15.04 Bn | 10.75 Bn | 345.32 Mn | 153.91 Mn |
| 5 | BWX Technologies | 11.61 Bn | 9.39 Bn | 227.14 Mn | 91.99 Mn |
| 6 | Generac Holdings | 10.72 Bn | 9.45 Bn | 516.04 Mn | 59.56 Mn |
| 7 | Innio | 10.33 Bn | 6.57 Bn | 367.70 Mn | 750.00 Mn |
| 8 | EnerSys | 5.50 Bn | 3.69 Bn | 313.36 Mn | 37.63 Mn |
| 9 | Mirion Technologies | 4.67 Bn | 3.08 Bn | 131.50 Mn | 272.89 Mn |
| 10 | X-Energy | 4.46 Bn | 3.10 Bn | -32.06 Mn | 280.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 272.89 Mn |
| Jun 30, 2026 | 275.07 Mn |
| Mar 31, 2026 | 244.66 Mn |
| Dec 31, 2025 | 261.15 Mn |
| Sep 30, 2025 | 255.66 Mn |
| Jun 30, 2025 | 243.06 Mn |
| Mar 31, 2025 | 226.92 Mn |
| Dec 31, 2024 | 204.99 Mn |
| Sep 30, 2024 | 206.68 Mn |
| Jun 30, 2024 | 202.20 Mn |
| Mar 31, 2024 | 199.73 Mn |
| Dec 31, 2023 | 196.37 Mn |
| Sep 30, 2023 | 199.22 Mn |
| Jun 30, 2023 | 199.18 Mn |
| Mar 31, 2023 | 187.70 Mn |
| Dec 31, 2022 | 181.15 Mn |
| Sep 30, 2022 | 181.33 Mn |
| Jun 30, 2022 | 180.99 Mn |
| Mar 31, 2022 | 180.77 Mn |
| Dec 31, 2021 | 180.77 Mn |
Mirion Technologies Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();