Nuscale Power (SMR) Total Liabilities (2020 - 2026)
Nuscale Power's Total Liabilities was -$12.12 million in Q2 2026, compared with $107.59 million a year earlier.
Analysis
Nuscale Power (SMR) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Nuscale Power came in at $243.67 million, up 166.2% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $91.55 million in FY2024 (-4.2%), $95.52 million in FY2023 (+33.5%), $71.55 million in FY2022 (+30.2%) and $54.94 million in FY2021 (-79.2%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities in data going back to Q3 2020.
- Compared with a year earlier, Total Liabilities was higher in two of the last seven quarters, with growth averaging 4.6%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2025 (growth of 166.2%); the worst was Q4 2021 (a decline of 79.2%).
- Per Business Quant data, SMR's Total Liabilities in the three quarters before Q2 2026 was $38.43 million (Q1 2026), $243.67 million (Q4 2025) and $54.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.94 Bn | 214.01 Bn | 2.36 Bn | 67.69 Bn |
| 2 | Bloom Energy | 77.11 Bn | 68.94 Bn | 355.57 Mn | 3.99 Bn |
| 3 | First Solar | 18.59 Bn | 9.54 Bn | 605.00 Mn | 3.07 Bn |
| 4 | BWX Technologies | 12.31 Bn | 10.61 Bn | 202.31 Mn | 3.09 Bn |
| 5 | Generac Holdings | 12.11 Bn | 10.94 Bn | 521.81 Mn | 2.89 Bn |
| 6 | Nextpower | 12.00 Bn | 7.89 Bn | 335.85 Mn | 1.71 Bn |
| 7 | EnerSys | 6.46 Bn | 4.66 Bn | 313.36 Mn | 1.98 Bn |
| 8 | Enphase Energy | 4.08 Bn | -774.96 Mn | 175.01 Mn | 1.74 Bn |
| 9 | Mirion Technologies | 3.51 Bn | 1.40 Bn | 133.10 Mn | 1.65 Bn |
| 10 | Nuscale Power | 3.25 Bn | 3.20 Bn | -152,000.00 | -12.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.12 Mn |
| Mar 31, 2026 | 38.43 Mn |
| Dec 31, 2025 | 243.67 Mn |
| Sep 30, 2025 | 54.43 Mn |
| Jun 30, 2025 | 107.59 Mn |
| Mar 31, 2025 | 88.61 Mn |
| Dec 31, 2024 | 91.55 Mn |
| Sep 30, 2024 | 163.16 Mn |
| Jun 30, 2024 | 135.92 Mn |
| Mar 31, 2024 | 101.13 Mn |
| Dec 31, 2023 | 95.52 Mn |
| Sep 30, 2023 | 128.88 Mn |
| Jun 30, 2023 | 85.26 Mn |
| Mar 31, 2023 | 85.66 Mn |
| Dec 31, 2022 | 71.55 Mn |
| Sep 30, 2022 | 84.76 Mn |
| Jun 30, 2022 | 75.49 Mn |
| Mar 31, 2022 | 189.21 Mn |
| Dec 31, 2021 | 54.94 Mn |
| Sep 30, 2021 | 220.80 Mn |
API Access
Nuscale Power Total Liabilities 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=total-liabilities&ticker=SMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();