Atlas Energy Solutions (AESI) Price to Book (2023 - 2026)
Atlas Energy Solutions' (AESI) Price to Book was 1.40 for Q3 2026, up 21.6% from 1.15 a year earlier but down 25.1% from the prior quarter.
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Analysis
Atlas Energy Solutions (AESI) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Price to Book at Atlas Energy Solutions was 0.97, down 59.0% from FY2024.
- By year, Price to Book came in at 2.36 in FY2024 (+18.8%) and 1.98 in FY2023.
- Five-year quarterly Price to Book spans a low of 0.97 in Q4 2025 and a high of 30.16 in Q1 2023.
- Year over year, Price to Book gained in three of the last eight quarters, with an average decline of 13.3%.
- The high point for year-over-year Price to Book in five years was Q2 2026 (growth of 43.4%); the low point was Q1 2024 (a decline of 92.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 1.87 (Q2 2026), 1.40 (Q1 2026) and 0.97 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn |
| 10 | Atlas Energy Solutions | 668.80 Mn | 397.85 Mn | 5.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.39 |
| Jun 30, 2026 | 1.87 |
| Mar 31, 2026 | 1.40 |
| Dec 31, 2025 | 0.97 |
| Sep 30, 2025 | 1.15 |
| Jun 30, 2025 | 1.30 |
| Mar 31, 2025 | 1.70 |
| Dec 31, 2024 | 2.36 |
| Sep 30, 2024 | 2.29 |
| Jun 30, 2024 | 2.06 |
| Mar 31, 2024 | 2.33 |
| Dec 31, 2023 | 1.98 |
| Jun 30, 2023 | 22.64 |
| Mar 31, 2023 | 30.16 |
API Access
Atlas Energy Solutions Price to Book 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=price-to-book&ticker=AESI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=AESI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();