Battalion Oil (BATL) Total Liabilities (2010 - 2026)
Battalion Oil (BATL) posted Total Liabilities of $229.45 million for Q2 2026, down 54.5% from $504.02 million a year earlier and down 10.1% from the prior quarter.
Battalion Oil (BATL) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Battalion Oil's Total Liabilities came in at $493.47 million, up 15.6% from FY2024.
- Annual Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- In prior years, Battalion Oil's Total Liabilities was $426.93 million in FY2024 (+2.3%), $417.32 million in FY2023 (+4.1%), $400.73 million in FY2022 (+22.7%) and $326.56 million in FY2021 (+27.3%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with an average decline of 5.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 49.8%; the weakest was Q2 2026, with a decline of 54.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $255.25 million (Q1 2026), $493.47 million (Q4 2025) and $511.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 548.90 Bn | 459.45 Bn | 30.13 Bn | 198.73 Bn |
| 2 | Chevron | 407.58 Bn | 385.38 Bn | 33.45 Bn | 134.58 Bn |
| 3 | TotalEnergies SE | 199.37 Bn | 82.49 Bn | - | 313.76 Bn |
| 4 | Eni Spa | 174.90 Bn | 124.42 Bn | - | 104.70 Bn |
| 5 | Conocophillips | 151.32 Bn | 124.03 Bn | 12.81 Bn | 58.91 Bn |
| 6 | Equinor Asa | 105.71 Bn | 51.77 Bn | - | -41.76 Bn |
| 7 | Phillips 66 | 101.18 Bn | 90.17 Bn | 8.38 Bn | 49.11 Bn |
| 8 | Canadian Natural Resources | 99.04 Bn | 95.99 Bn | - | - |
| 9 | Suncor Energy | 82.08 Bn | 67.87 Bn | - | 46.59 Bn |
| 10 | Battalion Oil | 28.02 Mn | -179.87 Mn | - | 229.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229.45 Mn |
| Mar 31, 2026 | 255.25 Mn |
| Dec 31, 2025 | 493.47 Mn |
| Sep 30, 2025 | 511.94 Mn |
| Jun 30, 2025 | 504.02 Mn |
| Mar 31, 2025 | 508.01 Mn |
| Dec 31, 2024 | 426.93 Mn |
| Sep 30, 2024 | 423.04 Mn |
| Jun 30, 2024 | 464.62 Mn |
| Mar 31, 2024 | 457.30 Mn |
| Dec 31, 2023 | 417.32 Mn |
| Sep 30, 2023 | 415.93 Mn |
| Jun 30, 2023 | 333.92 Mn |
| Mar 31, 2023 | 358.16 Mn |
| Dec 31, 2022 | 400.73 Mn |
| Sep 30, 2022 | 386.16 Mn |
| Jun 30, 2022 | 464.63 Mn |
| Mar 31, 2022 | 439.84 Mn |
| Dec 31, 2021 | 326.56 Mn |
| Sep 30, 2021 | 311.97 Mn |
Battalion Oil Total Liabilities 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=total-liabilities&ticker=BATL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BATL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();