Alpha Metallurgical Resources (AMR) Accumulated Expenses (2017 - 2026)
Alpha Metallurgical Resources' Accumulated Expenses came in at $163.35 million for Q2 2026, up 6.6% from $153.3 million a year earlier and up 7.6% from the prior quarter.
Alpha Metallurgical Resources (AMR) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Alpha Metallurgical Resources' Accumulated Expenses was $135.78 million, down 10.4% from FY2024.
- Accumulated Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $151.56 million in FY2024 (-14.6%), $177.51 million in FY2023 (-33.1%), $265.26 million in FY2022 (+47.0%) and $180.44 million in FY2021 (+28.5%).
- The five-year range for quarterly Accumulated Expenses is $135.78 million (Q4 2025) to $265.26 million (Q4 2022).
- Year-over-year, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 8.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2022 (growth of 65.5%), and the weakest in Q4 2023 (a decline of 33.1%).
- Business Quant data shows AMR's Accumulated Expenses at $151.77 million (Q1 2026), $135.78 million (Q4 2025) and $165.06 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cameco | 37.75 Bn | 33.53 Bn | 190.14 Mn |
| 2 | NexGen Energy | 6.02 Bn | 3.55 Bn | - |
| 3 | Uranium Energy | 4.67 Bn | 3.09 Bn | 10.03 Mn |
| 4 | Warrior Met Coal | 4.65 Bn | 3.35 Bn | 169.64 Mn |
| 5 | Core Natural Resources | 4.28 Bn | 2.51 Bn | 252.03 Mn |
| 6 | Alliance Resource Partners | 3.13 Bn | 2.82 Bn | 202.70 Mn |
| 7 | Peabody Energy | 2.97 Bn | 826.26 Mn | - |
| 8 | Energy Fuels | 2.76 Bn | -178.71 Mn | 14.42 Mn |
| 9 | Centrus Energy | 2.68 Bn | -4.64 Bn | 49.90 Mn |
| 10 | Alpha Metallurgical Resources | 2.13 Bn | 555.62 Mn | 49.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.35 Mn |
| Mar 31, 2026 | 151.77 Mn |
| Dec 31, 2025 | 135.78 Mn |
| Sep 30, 2025 | 165.06 Mn |
| Jun 30, 2025 | 153.30 Mn |
| Mar 31, 2025 | 147.29 Mn |
| Dec 31, 2024 | 151.56 Mn |
| Sep 30, 2024 | 190.09 Mn |
| Jun 30, 2024 | 182.87 Mn |
| Mar 31, 2024 | 186.44 Mn |
| Dec 31, 2023 | 177.51 Mn |
| Sep 30, 2023 | 190.12 Mn |
| Jun 30, 2023 | 185.74 Mn |
| Mar 31, 2023 | 189.93 Mn |
| Dec 31, 2022 | 265.26 Mn |
| Sep 30, 2022 | 203.90 Mn |
| Jun 30, 2022 | 200.27 Mn |
| Mar 31, 2022 | 223.22 Mn |
| Dec 31, 2021 | 180.44 Mn |
| Sep 30, 2021 | 160.73 Mn |
Alpha Metallurgical Resources Accumulated 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=accumulated-expenses&ticker=AMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AMR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=AMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();