Atlas Energy Solutions (AESI) Selling, General & Administrative (2022 - 2026)
Atlas Energy Solutions (AESI) reported Selling, General & Administrative of $39.41 million for Q2 2026, up 14.7% from $34.37 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Atlas Energy Solutions (AESI) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Atlas Energy Solutions' Selling, General & Administrative came in at $145.2 million, up 21.2% year-over-year; for FY2025, it came in at $138.83 million, up 30.7% from FY2024.
- Selling, General & Administrative has increased for four consecutive years, with a four-year compound annual growth rate of 68.9% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $106.22 million in FY2024 (+118.5%), $48.61 million in FY2023 (+99.9%), $24.32 million in FY2022 (+42.4%) and $17.07 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q3 2022.
- Year over year, Selling, General & Administrative has now increased in each of the last 12 quarters, with growth averaging 38.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Selling, General & Administrative ran from 3.9% in Q1 2026 to 229.4% in Q1 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.75 million (Q1 2026), $33.72 million (Q4 2025) and $36.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 151.38 Bn | 130.17 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 135.17 Bn | 95.67 Bn | - | - |
| 4 | Newmont | 115.47 Bn | 80.61 Bn | 4.22 Bn | 82.00 Mn |
| 5 | Freeport-Mcmoran | 93.51 Bn | 77.55 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 87.07 Bn | 76.70 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 65.15 Bn | 40.35 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 60.22 Bn | 49.60 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.40 Bn | 24.42 Bn | - | - |
| 10 | Atlas Energy Solutions | 1.11 Bn | 1.11 Bn | 25.86 Mn | 39.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.41 Mn |
| Mar 31, 2026 | 35.75 Mn |
| Dec 31, 2025 | 33.72 Mn |
| Sep 30, 2025 | 36.32 Mn |
| Jun 30, 2025 | 34.37 Mn |
| Mar 31, 2025 | 34.41 Mn |
| Dec 31, 2024 | 25.51 Mn |
| Sep 30, 2024 | 25.46 Mn |
| Jun 30, 2024 | 27.27 Mn |
| Mar 31, 2024 | 28.01 Mn |
| Dec 31, 2023 | 13.62 Mn |
| Sep 30, 2023 | 14.30 Mn |
| Jun 30, 2023 | 12.18 Mn |
| Mar 31, 2023 | 8.50 Mn |
| Dec 31, 2022 | 7.90 Mn |
| Sep 30, 2022 | 5.77 Mn |
API Access
Atlas Energy Solutions Selling, General & Administrative 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=selling-general-and-administrative&ticker=AESI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AESI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();