Alliance Resource Partners (ARLP) Operating Expenses (2009 - 2026)
Alliance Resource Partners (ARLP) recorded Operating Expenses of $455.98 million in Q2 2026, down 0.6% from $458.75 million a year earlier and down 7.7% from the prior quarter.
Alliance Resource Partners (ARLP) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Alliance Resource Partners' Operating Expenses came in at $1.85 billion as of Jun 30, 2026, down 6.9% year-over-year; for FY2025, it was $1.81 billion, down 11.9% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $2.05 billion in FY2024 (+8.5%), $1.89 billion in FY2023 (+8.1%), $1.75 billion in FY2022 (+29.3%) and $1.36 billion in FY2021 (-3.9%).
- Quarterly Operating Expenses has ranged from $348.71 million in Q3 2021 to $574.75 million in Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 1.7%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 44.0% in Q2 2022, against a decline of 23.8% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $494.16 million (Q1 2026), $438.17 million (Q4 2025) and $466.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 35.01 Bn | 31.59 Bn | - | - |
| 2 | NexGen Energy | 4.99 Bn | 2.53 Bn | - | 5.44 Mn |
| 3 | Warrior Met Coal | 4.44 Bn | 3.14 Bn | 169.64 Mn | 415.17 Mn |
| 4 | Core Natural Resources | 4.40 Bn | 2.64 Bn | 252.03 Mn | 985.26 Mn |
| 5 | Uranium Energy | 3.78 Bn | 2.19 Bn | 10.03 Mn | 45.84 Mn |
| 6 | Alliance Resource Partners | 3.30 Bn | 2.99 Bn | 202.70 Mn | 455.98 Mn |
| 7 | Peabody Energy | 2.76 Bn | 562.24 Mn | - | 953.90 Mn |
| 8 | Centrus Energy | 2.19 Bn | -5.14 Bn | 49.90 Mn | 37.00 Mn |
| 9 | Energy Fuels | 2.04 Bn | -905.08 Mn | 14.42 Mn | 55.68 Mn |
| 10 | Alpha Metallurgical Resources | 2.01 Bn | 429.99 Mn | 49.19 Mn | 503.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 455.98 Mn |
| Mar 31, 2026 | 494.16 Mn |
| Dec 31, 2025 | 438.17 Mn |
| Sep 30, 2025 | 466.40 Mn |
| Jun 30, 2025 | 458.75 Mn |
| Mar 31, 2025 | 446.19 Mn |
| Dec 31, 2024 | 574.75 Mn |
| Sep 30, 2024 | 512.50 Mn |
| Jun 30, 2024 | 475.93 Mn |
| Mar 31, 2024 | 491.40 Mn |
| Dec 31, 2023 | 509.72 Mn |
| Sep 30, 2023 | 471.08 Mn |
| Jun 30, 2023 | 457.91 Mn |
| Mar 31, 2023 | 455.60 Mn |
| Dec 31, 2022 | 484.54 Mn |
| Sep 30, 2022 | 451.27 Mn |
| Jun 30, 2022 | 442.56 Mn |
| Mar 31, 2022 | 374.16 Mn |
| Dec 31, 2021 | 417.03 Mn |
| Sep 30, 2021 | 348.71 Mn |
Alliance Resource Partners 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=ARLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ARLP", "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=ARLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();