Prairie Operating (PROP) Change in Accrued Expenses (2009 - 2026)
Prairie Operating's Change in Accrued Expenses came in at $2.55 million for Q3 2026, down 62.4% from $6.79 million a year earlier and down 6.4% from the prior quarter.
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Analysis
Prairie Operating (PROP) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Prairie Operating reported Change in Accrued Expenses of $15.42 million, down 47.0% year-over-year; for FY2025, it was $19.2 million, up 3.3% from FY2024.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 77.2% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was $18.59 million in FY2024, $1.56 million in FY2023 (-53.6%), $3.37 million in FY2022 (+492.0%) and $569,459 in FY2021 (-48.3%).
- The five-year range for quarterly Change in Accrued Expenses is -$4.58 million (Q2 2025) to $20.76 million (Q1 2025).
- Year-over-year, Change in Accrued Expenses increased in three of the last five quarters, with growth averaging 251.5%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q1 2025 (growth of 891.7%), and the weakest in Q1 2023 (a decline of 85.6%).
- Business Quant data shows PROP's Change in Accrued Expenses at $2.73 million (Q2 2026), $13.9 million (Q1 2026) and -$3.76 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | Prairie Operating | 49.85 Mn | 49.03 Mn | - | 2.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.55 Mn |
| Jun 30, 2026 | 2.73 Mn |
| Mar 31, 2026 | 13.90 Mn |
| Dec 31, 2025 | -4.51 Mn |
| Sep 30, 2025 | 7.54 Mn |
| Jun 30, 2025 | -4.58 Mn |
| Mar 31, 2025 | 20.76 Mn |
| Dec 31, 2024 | 6.14 Mn |
| Sep 30, 2024 | 6.61 Mn |
| Jun 30, 2024 | 3.75 Mn |
| Mar 31, 2024 | 2.09 Mn |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | 2.30 Mn |
| Jun 30, 2023 | -1.90 Mn |
| Mar 31, 2023 | 64,309.00 |
| Dec 31, 2022 | 679,696.00 |
| Sep 30, 2022 | 309,511.00 |
| Jun 30, 2022 | 1.05 Mn |
| Mar 31, 2022 | 446,413.00 |
| Dec 31, 2021 | 192,071.00 |
API Access
Prairie Operating Change in Accrued Expenses 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=change-in-accured-expenses&ticker=PROP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=PROP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();