Atlas Energy Solutions (AESI) Accumulated Expenses (2022 - 2026)
Atlas Energy Solutions (AESI) reported Accumulated Expenses of $97.08 million for Q2 2026, up 34.6% from $72.11 million a year earlier and up 1.5% from the prior quarter.
Atlas Energy Solutions (AESI) Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Atlas Energy Solutions posted Accumulated Expenses of $84.61 million, up 40.3% from FY2024.
- Accumulated Expenses has a three-year compound annual growth rate of 40.3% (FY2022 to FY2025).
- By year, Accumulated Expenses came in at $60.29 million in FY2024 (+111.9%), $28.46 million in FY2023 (-7.1%) and $30.63 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2022.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 46.1% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2024 (growth of 111.9%); the low point was Q4 2023 (a decline of 7.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $95.61 million (Q1 2026), $84.61 million (Q4 2025) and $74.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 152.74 Bn | 131.52 Bn | 2.90 Bn |
| 3 | Rio Tinto | 136.62 Bn | 97.12 Bn | - |
| 4 | Newmont | 119.86 Bn | 87.86 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 93.64 Bn | 77.68 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 88.60 Bn | 78.23 Bn | 2.43 Bn |
| 7 | Barrick Mining | 65.79 Bn | 40.99 Bn | 2.90 Bn |
| 8 | Nucor | 58.14 Bn | 47.53 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 46.03 Bn | 25.05 Bn | - |
| 10 | Atlas Energy Solutions | 1.08 Bn | 1.08 Bn | 25.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.08 Mn |
| Mar 31, 2026 | 95.61 Mn |
| Dec 31, 2025 | 84.61 Mn |
| Sep 30, 2025 | 74.80 Mn |
| Jun 30, 2025 | 72.11 Mn |
| Mar 31, 2025 | 66.14 Mn |
| Dec 31, 2024 | 60.29 Mn |
| Sep 30, 2024 | 68.46 Mn |
| Jun 30, 2024 | 72.62 Mn |
| Mar 31, 2024 | 43.43 Mn |
| Dec 31, 2023 | 28.46 Mn |
| Sep 30, 2023 | 38.84 Mn |
| Dec 31, 2022 | 30.63 Mn |
Atlas Energy Solutions 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=AESI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AESI", "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=AESI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();