Prairie Operating (PROP) Shares Outstanding (2009 - 2026)
Prairie Operating (PROP) recorded Weighted Average Shares Outstanding of 131.04 million in Q3 2026, up 158.9% from 50.62 million a year earlier and up 22.3% from the prior quarter.
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Analysis
Prairie Operating (PROP) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Prairie Operating reported Weighted Average Shares Outstanding of 45.23 million, up 192.7% from FY2024.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of 66.8% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 15.45 million in FY2024 (+222.7%), 4.79 million in FY2023 (-58.9%), 11.65 million in FY2022 (+145.0%) and 4.76 million in FY2021 (+35.6%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for nine consecutive quarters, with growth averaging 194.4% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 818.5% in Q2 2023, against a decline of 89.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 107.14 million (Q2 2026), 80.59 million (Q1 2026) and 45.23 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 4.14 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 5.89 Bn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 1.96 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 2.19 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 3.02 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 1.20 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 2.59 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 2.09 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 397.01 Mn |
| 10 | Prairie Operating | 49.85 Mn | 49.03 Mn | - | 131.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 131.04 Mn |
| Jun 30, 2026 | 107.14 Mn |
| Mar 31, 2026 | 80.59 Mn |
| Dec 31, 2025 | 45.23 Mn |
| Sep 30, 2025 | 50.62 Mn |
| Jun 30, 2025 | 44.06 Mn |
| Mar 31, 2025 | 26.80 Mn |
| Dec 31, 2024 | 15.45 Mn |
| Sep 30, 2024 | 16.77 Mn |
| Jun 30, 2024 | 12.00 Mn |
| Mar 31, 2024 | 10.00 Mn |
| Dec 31, 2023 | 4.79 Mn |
| Sep 30, 2023 | 6.57 Mn |
| Jun 30, 2023 | 112.15 Mn |
| Mar 31, 2023 | 12.25 Mn |
| Dec 31, 2022 | 11.65 Mn |
| Sep 30, 2022 | 12.66 Mn |
| Jun 30, 2022 | 12.21 Mn |
| Mar 31, 2022 | 9.43 Mn |
| Dec 31, 2021 | 4.76 Mn |
API Access
Prairie Operating Shares Outstanding 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=shares-outstanding&ticker=PROP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=PROP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();