Prairie Operating (PROP) EV to CFO (2013 - 2026)
Prairie Operating's (PROP) EV to CFO was 0.23 for Q3 2026, down 84.9% from 1.52 a year earlier and down 40.2% from the prior quarter.
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Analysis
Prairie Operating (PROP) EV to CFO (2013 - 2026) Analysis & Trends
For FY2025, EV to CFO at Prairie Operating was 0.50.
- The Q3 2026 figure ranks as the lowest quarterly EV to CFO in data going back to Q1 2013.
- Year over year, EV to CFO has now declined in each of the last three quarters.
- Per Business Quant data, the three quarters before Q3 2026 came in at 0.38 (Q2 2026), 0.96 (Q1 2026) and 0.50 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.23 |
| Jun 30, 2026 | 0.38 |
| Mar 31, 2026 | 0.96 |
| Dec 31, 2025 | 0.50 |
| Sep 30, 2025 | 1.52 |
| Jun 30, 2025 | 14.25 |
| Mar 31, 2025 | 11.77 |
| Sep 30, 2018 | 79,059.27 |
| Jun 30, 2016 | 13,560.49 |
| Mar 31, 2016 | 6,935.11 |
| Dec 31, 2015 | 28,970.26 |
| Mar 31, 2015 | 9,781.05 |
| Dec 31, 2014 | 10,089.10 |
| Sep 30, 2014 | 9,118.02 |
| Jun 30, 2014 | 5,294.67 |
| Mar 31, 2014 | 11,678.23 |
| Dec 31, 2013 | 6,321.38 |
| Sep 30, 2013 | 11,188.84 |
| Jun 30, 2013 | 19,631.94 |
| Mar 31, 2013 | 9,616.71 |
API Access
Prairie Operating EV to CFO 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=ev-to-cfo&ticker=PROP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=PROP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();