Prairie Operating (PROP) Operating Expenses (2010 - 2026)
Prairie Operating (PROP) posted Operating Expenses of $53.5 million for Q2 2026, up 8.8% from $49.16 million a year earlier.
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Analysis
Prairie Operating (PROP) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Prairie Operating was $218.51 million, up 177.2% year-over-year; for FY2025, it came in at $176.07 million, up 411.1% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 130.8% (FY2020 to FY2025).
- In prior years, Prairie Operating's Operating Expenses was $34.45 million in FY2024 (+108.4%), $16.53 million in FY2023 (+103.5%), $8.12 million in FY2022 (-56.3%) and $18.58 million in FY2021 (+591.5%).
- Quarterly Operating Expenses has run from a low of -$6.58 million in Q4 2022 to a high of $65.17 million in Q4 2025 over five years.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 622.3%; the weakest was Q1 2023, with a decline of 98.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 548.90 Bn | 459.45 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 407.58 Bn | 385.38 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 199.37 Bn | 82.49 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 174.90 Bn | 124.42 Bn | - | - |
| 5 | Conocophillips | 151.32 Bn | 124.03 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 105.71 Bn | 51.77 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 101.18 Bn | 90.17 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 99.04 Bn | 95.99 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 82.08 Bn | 67.87 Bn | - | 17.00 Mn |
| 10 | Prairie Operating | 43.39 Mn | 37.27 Mn | - | 53.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.50 Mn |
| Dec 31, 2025 | 65.17 Mn |
| Sep 30, 2025 | 50.67 Mn |
| Jun 30, 2025 | 49.16 Mn |
| Mar 31, 2025 | 11.84 Mn |
| Dec 31, 2024 | 9.02 Mn |
| Sep 30, 2024 | 8.82 Mn |
| Jun 30, 2024 | 8.57 Mn |
| Mar 31, 2024 | 8.05 Mn |
| Dec 31, 2023 | 7.30 Mn |
| Sep 30, 2023 | 6.31 Mn |
| Jun 30, 2023 | 2.86 Mn |
| Mar 31, 2023 | 64,392.00 |
| Dec 31, 2022 | 1.08 Mn |
| Sep 30, 2022 | 309,511.00 |
| Jun 30, 2022 | 1.80 Mn |
| Mar 31, 2022 | 3.51 Mn |
| Dec 31, 2021 | 12.37 Mn |
| Sep 30, 2021 | 1.95 Mn |
| Jun 30, 2021 | 1.34 Mn |
API Access
Prairie Operating Operating 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=operating-expenses&ticker=PROP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PROP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();