Battalion Oil (BATL) Price to Book (2019 - 2026)
Battalion Oil's (BATL) Price to Book was 0.37 for Q3 2026, up 116.7% from the prior quarter.
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Analysis
Battalion Oil (BATL) Price to Book (2019 - 2026) Analysis & Trends
For FY2024, Price to Book at Battalion Oil was 6.87, up 195.5% from FY2023.
- By year, Price to Book came in at 2.33 in FY2023 (+24.0%), 1.88 in FY2022 (-25.1%), 2.50 in FY2021 (+67.5%) and 1.50 in FY2020 (+117.2%).
- Five-year quarterly Price to Book spans a low of 0.17 in Q2 2026 and a high of 6.87 in Q4 2024.
- The high point for year-over-year Price to Book in five years was Q4 2024 (growth of 195.5%); the low point was Q3 2022 (a decline of 49.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn |
| 10 | Battalion Oil | 42.83 Mn | -206.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.37 |
| Jun 30, 2026 | 0.17 |
| Mar 31, 2026 | 0.51 |
| Dec 31, 2024 | 6.87 |
| Sep 30, 2024 | 3.14 |
| Jun 30, 2024 | 2.42 |
| Mar 31, 2024 | 2.97 |
| Dec 31, 2023 | 2.33 |
| Sep 30, 2023 | 2.49 |
| Jun 30, 2023 | 0.95 |
| Mar 31, 2023 | 1.02 |
| Dec 31, 2022 | 1.88 |
| Sep 30, 2022 | 2.13 |
| Dec 31, 2021 | 2.50 |
| Sep 30, 2021 | 4.25 |
| Jun 30, 2021 | 9.22 |
| Mar 31, 2021 | 3.10 |
| Dec 31, 2020 | 1.50 |
| Sep 30, 2020 | 0.84 |
| Jun 30, 2020 | 0.50 |
API Access
Battalion Oil 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=BATL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "BATL", "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=BATL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();