Atlas Energy Solutions (AESI) Cost of Revenue (2022 - 2026)
Atlas Energy Solutions (AESI) reported Cost of Revenue of $221.3 million for Q2 2026, up 13.0% from $195.9 million a year earlier and up 3.4% from the prior quarter.
Atlas Energy Solutions (AESI) Cost of Revenue (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Atlas Energy Solutions' Cost of Revenue came in at $817.85 million, down 0.1% year-over-year; for FY2025, it came in at $784.5 million, up 8.2% from FY2024.
- Cost of Revenue has increased for four consecutive years, with a four-year compound annual growth rate of 74.5% (FY2021 to FY2025).
- By year, Cost of Revenue came in at $725.2 million in FY2024 (+178.5%), $260.4 million in FY2023 (+30.9%), $198.92 million in FY2022 (+135.0%) and $84.66 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue since Q3 2024.
- Year over year, Cost of Revenue gained in five of the last eight quarters, with growth averaging 63.9%.
- The high point for year-over-year Cost of Revenue in five years was Q3 2024 (growth of 232.5%); the low point was Q3 2025 (a decline of 13.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $214.03 million (Q1 2026), $187.3 million (Q4 2025) and $195.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 1.39 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 2.09 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | 3.40 Bn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 4.84 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 953.76 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 2.40 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 8.36 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Atlas Energy Solutions | 1.50 Bn | 1.50 Bn | 25.86 Mn | 221.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 221.30 Mn |
| Mar 31, 2026 | 214.03 Mn |
| Dec 31, 2025 | 187.30 Mn |
| Sep 30, 2025 | 195.23 Mn |
| Jun 30, 2025 | 195.90 Mn |
| Mar 31, 2025 | 206.06 Mn |
| Dec 31, 2024 | 190.97 Mn |
| Sep 30, 2024 | 225.35 Mn |
| Jun 30, 2024 | 202.14 Mn |
| Mar 31, 2024 | 106.75 Mn |
| Dec 31, 2023 | 66.57 Mn |
| Sep 30, 2023 | 67.77 Mn |
| Jun 30, 2023 | 63.50 Mn |
| Mar 31, 2023 | 62.56 Mn |
| Dec 31, 2022 | 67.29 Mn |
| Sep 30, 2022 | 60.14 Mn |
Atlas Energy Solutions Cost of Revenue 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=cost-of-revenue&ticker=AESI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AESI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();