Prairie Operating (PROP) Total Liabilities (2009 - 2026)
Prairie Operating (PROP) reported Total Liabilities of $885.2 million for Q3 2026, up 5.6% from $837.95 million a year earlier and up 13.2% from the prior quarter.
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Analysis
Prairie Operating (PROP) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Prairie Operating posted Total Liabilities of $814.38 million, up 684.7% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 143.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $103.79 million in FY2024, $5.51 million in FY2023 (-34.1%), $8.37 million in FY2022 (-7.1%) and $9 million in FY2021 (-5.4%).
- Five-year quarterly Total Liabilities spans a low of $5.51 million in Q4 2023 and a high of $958.35 million in Q1 2026.
- Year over year, Total Liabilities has now increased in each of the last four quarters, with growth averaging 180.5% over the last four quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2023 (growth of 716.5%); the low point was Q3 2024 (a decline of 55.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $782.24 million (Q2 2026), $958.35 million (Q1 2026) and $814.38 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 198.40 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 222.14 Bn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 133.81 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 204.96 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 109.37 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 60.08 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | -43.46 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 | 50.45 Bn |
| 10 | Prairie Operating | 49.85 Mn | 49.03 Mn | - | 885.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 885.20 Mn |
| Jun 30, 2026 | 782.24 Mn |
| Mar 31, 2026 | 958.35 Mn |
| Dec 31, 2025 | 814.38 Mn |
| Sep 30, 2025 | 837.95 Mn |
| Jun 30, 2025 | 764.37 Mn |
| Mar 31, 2025 | 741.40 Mn |
| Dec 31, 2024 | 103.79 Mn |
| Sep 30, 2024 | 45.89 Mn |
| Jun 30, 2024 | 12.68 Mn |
| Mar 31, 2024 | 8.87 Mn |
| Dec 31, 2023 | 5.51 Mn |
| Sep 30, 2023 | 104.14 Mn |
| Jun 30, 2023 | 8.53 Mn |
| Mar 31, 2023 | 13.86 Mn |
| Dec 31, 2022 | 8.37 Mn |
| Sep 30, 2022 | 12.75 Mn |
| Jun 30, 2022 | 10.75 Mn |
| Mar 31, 2022 | 9.10 Mn |
| Dec 31, 2021 | 9.00 Mn |
API Access
Prairie Operating 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=PROP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PROP", "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=PROP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();