Energy Fuels (UUUU) Depreciation and Depletion (2016 - 2026)
Energy Fuels (UUUU) posted Depreciation and Depletion of $1.45 million for Q2 2026, up 16.0% from $1.25 million a year earlier and up 8.2% from the prior quarter.
Energy Fuels (UUUU) Depreciation and Depletion (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Energy Fuels was $5.43 million, up 31.5% year-over-year; for FY2025, it was $5.07 million, up 69.6% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 58.3% (FY2020 to FY2025).
- In prior years, Energy Fuels' Depreciation and Depletion was $2.99 million in FY2024 (+8.7%), $2.75 million in FY2023 (-15.9%), $3.27 million in FY2022 and $100,000 in FY2021 (-80.4%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion since Q4 2022.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last seven quarters, with growth averaging 46.4% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q1 2024, with growth of 857.1%; the weakest was Q4 2023, with a decline of 76.5%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $1.34 million (Q1 2026), $1.34 million (Q4 2025) and $1.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 37.09 Bn | 32.88 Bn | 190.14 Mn | - |
| 2 | NexGen Energy | 5.93 Bn | 3.46 Bn | - | - |
| 3 | Warrior Met Coal | 4.72 Bn | 3.42 Bn | 169.64 Mn | - |
| 4 | Uranium Energy | 4.61 Bn | 3.02 Bn | 10.03 Mn | - |
| 5 | Core Natural Resources | 4.43 Bn | 2.67 Bn | 252.03 Mn | - |
| 6 | Alliance Resource Partners | 3.16 Bn | 2.85 Bn | 202.70 Mn | - |
| 7 | Peabody Energy | 3.02 Bn | 875.02 Mn | - | - |
| 8 | Energy Fuels | 2.68 Bn | -258.69 Mn | 14.42 Mn | 1.45 Mn |
| 9 | Centrus Energy | 2.68 Bn | -4.65 Bn | 49.90 Mn | - |
| 10 | Alpha Metallurgical Resources | 2.17 Bn | 593.43 Mn | 49.19 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.45 Mn |
| Mar 31, 2026 | 1.34 Mn |
| Dec 31, 2025 | 1.34 Mn |
| Sep 30, 2025 | 1.30 Mn |
| Jun 30, 2025 | 1.25 Mn |
| Mar 31, 2025 | 1.18 Mn |
| Dec 31, 2024 | 1.04 Mn |
| Sep 30, 2024 | 660,000.00 |
| Jun 30, 2024 | 620,000.00 |
| Mar 31, 2024 | 670,000.00 |
| Dec 31, 2023 | 730,000.00 |
| Sep 30, 2023 | 690,000.00 |
| Jun 30, 2023 | 660,000.00 |
| Mar 31, 2023 | 70,000.00 |
| Dec 31, 2022 | 3.11 Mn |
| Sep 30, 2022 | 60,000.00 |
| Jun 30, 2022 | 50,000.00 |
| Mar 31, 2022 | 50,000.00 |
| Mar 31, 2016 | 1.10 Mn |
Energy Fuels Depreciation and Depletion 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=depreciation-and-depletion&ticker=UUUU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=UUUU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();