Mirion Technologies (MIR) Change in Accrued Expenses (2021 - 2026)
Mirion Technologies (MIR) posted Change in Accrued Expenses of $9.5 million for Q3 2026, up 126.2% from $4.2 million a year earlier.
Mirion Technologies (MIR) Change in Accrued Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at Mirion Technologies was -$2 million; for FY2025, it was -$300,000.
- In prior years, Mirion Technologies' Change in Accrued Expenses was $11.3 million in FY2024 (+334.6%), $2.6 million in FY2023 (-52.7%), $5.5 million in FY2022 and -$2.2 million in FY2021.
- Quarterly Change in Accrued Expenses has run from a low of -$19.6 million in Q1 2026 to a high of $10.4 million in Q4 2025 over five years.
- On a year-over-year basis, Change in Accrued Expenses increased in three of the last four quarters, with growth averaging 64.8%.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q3 2023, with growth of 487.5%; the weakest was Q3 2025, with a decline of 50.0%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was -$2.3 million (Q2 2026), -$19.6 million (Q1 2026) and $10.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 573.00 Mn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | - |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 18.86 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | - |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 16.05 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 133.84 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 37.00 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 10.46 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 9.50 Mn |
| 10 | Enphase Energy | 3.45 Bn | -863.96 Mn | 127.12 Mn | -48.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.50 Mn |
| Jun 30, 2026 | -2.30 Mn |
| Mar 31, 2026 | -19.60 Mn |
| Dec 31, 2025 | 10.40 Mn |
| Sep 30, 2025 | 4.20 Mn |
| Jun 30, 2025 | -9.20 Mn |
| Mar 31, 2025 | -5.70 Mn |
| Dec 31, 2024 | 8.70 Mn |
| Sep 30, 2024 | 8.40 Mn |
| Jun 30, 2024 | 6.50 Mn |
| Mar 31, 2024 | -12.30 Mn |
| Dec 31, 2023 | 3.30 Mn |
| Sep 30, 2023 | 4.70 Mn |
| Jun 30, 2023 | 3.10 Mn |
| Mar 31, 2023 | -8.50 Mn |
| Dec 31, 2022 | 3.20 Mn |
| Sep 30, 2022 | 800,000.00 |
| Jun 30, 2022 | 2.40 Mn |
| Mar 31, 2022 | -900,000.00 |
| Dec 31, 2021 | -8.40 Mn |
Mirion Technologies Change in Accrued 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=change-in-accured-expenses&ticker=MIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();