Nuscale Power (SMR) Operating Expenses (2020 - 2026)
Nuscale Power's Operating Expenses came in at $45.3 million for Q2 2026, up 32.0% from $34.33 million a year earlier and up 20.3% from the prior quarter.
Nuscale Power (SMR) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nuscale Power reported Operating Expenses of $671.59 million, up 424.8% year-over-year; for FY2025, it was $655.36 million, up 434.0% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 464.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $122.72 million in FY2024 (-44.6%), $221.45 million in FY2023 (+21.0%), $182.97 million in FY2022 and $1.33 million in FY2021.
- The five-year range for quarterly Operating Expenses is $201,780 (Q4 2021) to $530.28 million (Q3 2025).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 6.0% over the last seven quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2023 (growth of 721.1%), and the weakest in Q3 2024 (a decline of 63.6%).
- Business Quant data shows SMR's Operating Expenses at $37.64 million (Q1 2026), $58.36 million (Q4 2025) and $530.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 256.40 Bn | 217.48 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 85.45 Bn | 77.27 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 19.01 Bn | 9.97 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.64 Bn | 10.94 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.53 Bn | 11.36 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 12.03 Bn | 7.92 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.62 Bn | 4.81 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.21 Bn | -653.40 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.39 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Nuscale Power | 3.18 Bn | 3.14 Bn | -152,000.00 | 45.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.30 Mn |
| Mar 31, 2026 | 37.64 Mn |
| Dec 31, 2025 | 58.36 Mn |
| Sep 30, 2025 | 530.28 Mn |
| Jun 30, 2025 | 34.33 Mn |
| Mar 31, 2025 | 32.40 Mn |
| Dec 31, 2024 | 32.06 Mn |
| Sep 30, 2024 | 29.18 Mn |
| Jun 30, 2024 | 28.96 Mn |
| Mar 31, 2024 | 32.51 Mn |
| Dec 31, 2023 | 55.81 Mn |
| Sep 30, 2023 | 80.13 Mn |
| Jun 30, 2023 | 43.26 Mn |
| Mar 31, 2023 | 42.27 Mn |
| Dec 31, 2022 | 54.32 Mn |
| Sep 30, 2022 | 51.79 Mn |
| Jun 30, 2022 | 41.47 Mn |
| Mar 31, 2022 | 5.15 Mn |
| Dec 31, 2021 | 201,780.00 |
| Sep 30, 2021 | 441,400.00 |
Nuscale Power 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=SMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SMR", "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=SMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();