Prairie Operating (PROP) Total Non-Current Liabilities (2010 - 2026)
Prairie Operating (PROP) reported Total Non-Current Liabilities of $609.19 million for Q3 2026, up 14.0% from $534.25 million a year earlier and up 6.6% from the prior quarter.
Prairie Operating (PROP) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Prairie Operating posted Total Non-Current Liabilities of $552.46 million.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 195.6% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $40.78 million in FY2024, $94,000 in FY2023 (-37.3%), $149,900 in FY2022 (-94.9%) and $2.96 million in FY2021 (+21.0%).
- The Q3 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 45.5%); the low point was Q3 2024 (a decline of 98.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $571.6 million (Q2 2026), $596.92 million (Q1 2026) and $552.46 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 168.37 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 209.01 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 | - | 57.51 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 58.16 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 59.17 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 | 47.52 Bn |
| 10 | Prairie Operating | 49.85 Mn | 49.03 Mn | - | 609.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 609.19 Mn |
| Jun 30, 2026 | 571.60 Mn |
| Mar 31, 2026 | 596.92 Mn |
| Dec 31, 2025 | 552.46 Mn |
| Sep 30, 2025 | 534.25 Mn |
| Jun 30, 2025 | 438.14 Mn |
| Mar 31, 2025 | 426.49 Mn |
| Dec 31, 2024 | 40.78 Mn |
| Sep 30, 2024 | 875,105.00 |
| Jun 30, 2024 | 175,509.00 |
| Mar 31, 2024 | 218,069.00 |
| Dec 31, 2023 | 94,000.00 |
| Sep 30, 2023 | 50.74 Mn |
| Jun 30, 2023 | 1.39 Mn |
| Mar 31, 2023 | 149,900.00 |
| Dec 31, 2022 | 149,900.00 |
| Sep 30, 2022 | 2.65 Mn |
| Jun 30, 2022 | 2.65 Mn |
| Mar 31, 2022 | 2.74 Mn |
| Dec 31, 2021 | 2.96 Mn |
Prairie Operating Total Non-Current 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-non-current-liabilities&ticker=PROP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PROP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();