Atlas Energy Solutions (AESI) EV to EBITDA (2023 - 2026)
Atlas Energy Solutions' EV to EBITDA was 22.57 in Q2 2026, up 182.2% from 8.00 a year earlier and up 58.9% from the prior quarter.
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Analysis
Atlas Energy Solutions (AESI) EV to EBITDA (2023 - 2026) Analysis & Trends
For FY2025, EV to EBITDA at Atlas Energy Solutions came in at 7.56, down 32.7% from FY2024.
- In earlier years, EV to EBITDA was 11.25 in FY2024 (+100.3%) and 5.61 in FY2023.
- The Q2 2026 figure marks the highest quarterly EV to EBITDA in data going back to Q2 2023.
- Compared with a year earlier, EV to EBITDA was higher in five of the last eight quarters, with growth averaging 34.2%.
- The best year-over-year quarter for EV to EBITDA over five years was Q2 2026 (growth of 182.2%); the worst was Q4 2025 (a decline of 32.4%).
- Per Business Quant data, AESI's EV to EBITDA in the three quarters before Q2 2026 was 14.21 (Q1 2026), 7.56 (Q4 2025) and 7.48 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Atlas Energy Solutions | 1.50 Bn | 1.50 Bn | 25.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.57 |
| Mar 31, 2026 | 14.21 |
| Dec 31, 2025 | 7.56 |
| Sep 30, 2025 | 7.48 |
| Jun 30, 2025 | 8.00 |
| Mar 31, 2025 | 10.40 |
| Dec 31, 2024 | 11.19 |
| Sep 30, 2024 | 11.06 |
| Jun 30, 2024 | 8.74 |
| Mar 31, 2024 | 8.78 |
| Dec 31, 2023 | 5.61 |
| Sep 30, 2023 | 10.03 |
| Jun 30, 2023 | 5.45 |
API Access
Atlas Energy Solutions EV to EBITDA 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=ev-to-ebitda&ticker=AESI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=AESI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();