Energy Fuels (UUUU) Net Long-Term Debt Issued (Repaid) (2015 - 2020)
Energy Fuels (UUUU) recorded Net Long-Term Debt Issued (Repaid) of $700 million in FY2025.
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Analysis
Energy Fuels (UUUU) Net Long-Term Debt Issued (Repaid) (2015 - 2020) Analysis & Trends
Starting with FY2014, Energy Fuels' Net Long-Term Debt Issued (Repaid) history includes 8 years.
- The FY2025 figure is the highest annual Net Long-Term Debt Issued (Repaid) in data going back to FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 32.57 Bn | 30.07 Bn | - | - |
| 2 | NexGen Energy | 5.01 Bn | 5.01 Bn | - | - |
| 3 | Warrior Met Coal | 4.48 Bn | 3.13 Bn | 139.41 Mn | -9.93 Mn |
| 4 | Core Natural Resources | 4.10 Bn | 2.34 Bn | 252.03 Mn | -11.07 Mn |
| 5 | Uranium Energy | 3.60 Bn | 2.01 Bn | 10.03 Mn | - |
| 6 | Alliance Resource Partners | 3.18 Bn | 2.88 Bn | 202.70 Mn | 166.53 Mn |
| 7 | Centrus Energy | 2.25 Bn | -5.07 Bn | 49.90 Mn | - |
| 8 | Peabody Energy | 2.05 Bn | -142.92 Mn | - | -499.30 Mn |
| 9 | Alpha Metallurgical Resources | 1.96 Bn | 380.35 Mn | 49.19 Mn | -705,000.00 |
| 10 | Energy Fuels | 1.79 Bn | -1.78 Bn | 17.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -7.71 Mn |
| Sep 30, 2020 | -7.82 Mn |
| Jun 30, 2020 | -243,000.00 |
| Mar 31, 2020 | -241,000.00 |
| Dec 31, 2019 | -238,000.00 |
| Sep 30, 2019 | -79,000.00 |
| Sep 30, 2018 | -9.17 Mn |
| Jun 30, 2018 | -846,000.00 |
| Mar 31, 2018 | -836,000.00 |
| Dec 31, 2017 | -823,000.00 |
| Sep 30, 2017 | -812,000.00 |
| Jun 30, 2017 | -1.67 Mn |
| Mar 31, 2017 | -789,000.00 |
| Dec 31, 2016 | -777,000.00 |
| Sep 30, 2016 | -785,000.00 |
| Jun 30, 2016 | -798,000.00 |
| Mar 31, 2016 | -808,000.00 |
| Dec 31, 2015 | -946,000.00 |
API Access
Energy Fuels Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=UUUU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "UUUU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=UUUU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();