Prairie Operating (PROP) Total Current Liabilities (2009 - 2026)
Prairie Operating (PROP) recorded Total Current Liabilities of $254.67 million in Q3 2026, up 75.6% from $145.01 million a year earlier and up 52.1% from the prior quarter.
Prairie Operating (PROP) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Prairie Operating reported Total Current Liabilities of $125.78 million, up 99.6% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 77.9% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $63.01 million in FY2024, $5.42 million in FY2023 (+143.7%), $2.22 million in FY2022 (-63.2%) and $6.04 million in FY2021 (-14.5%).
- The Q3 2026 figure is the highest quarterly Total Current Liabilities since Q2 2011.
- On a year-over-year basis, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 98.0% over the last five quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 288.0% in Q3 2024, against a decline of 63.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $167.42 million (Q2 2026), $239.37 million (Q1 2026) and $125.78 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 90.21 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 8.94 Bn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 41.83 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | - |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 50.57 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 13.75 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 42.88 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 | 20.78 Bn |
| 10 | Prairie Operating | 49.85 Mn | 49.03 Mn | - | 254.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 254.67 Mn |
| Jun 30, 2026 | 167.42 Mn |
| Mar 31, 2026 | 239.37 Mn |
| Dec 31, 2025 | 125.78 Mn |
| Sep 30, 2025 | 145.01 Mn |
| Jun 30, 2025 | 161.64 Mn |
| Mar 31, 2025 | 126.63 Mn |
| Dec 31, 2024 | 63.01 Mn |
| Sep 30, 2024 | 45.01 Mn |
| Jun 30, 2024 | 12.51 Mn |
| Mar 31, 2024 | 8.65 Mn |
| Dec 31, 2023 | 5.42 Mn |
| Sep 30, 2023 | 11.60 Mn |
| Jun 30, 2023 | 7.15 Mn |
| Mar 31, 2023 | 13.71 Mn |
| Dec 31, 2022 | 2.22 Mn |
| Sep 30, 2022 | 10.11 Mn |
| Jun 30, 2022 | 8.10 Mn |
| Mar 31, 2022 | 6.36 Mn |
| Dec 31, 2021 | 6.04 Mn |
Prairie Operating Total 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-current-liabilities&ticker=PROP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PROP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();