Prairie Operating (PROP) Liabilities from Discontinued Operations (2020 - 2023)
Prairie Operating (PROP) reported Liabilities from Discontinued Operations of $485,712 for Q1 2023, up 4.8% from $463,645 a year earlier and unchanged from the prior quarter.
Prairie Operating (PROP) Liabilities from Discontinued Operations (2020 - 2023) Analysis & Trends
Dating back to Q4 2020, Prairie Operating's Liabilities from Discontinued Operations record includes 10 quarters.
- By year, Liabilities from Discontinued Operations came in at $472,029 in FY2021 (-78.9%) and $2.24 million in FY2020.
- Five-year quarterly Liabilities from Discontinued Operations spans a low of -$2.54 million in Q3 2021 and a high of $2.24 million in Q4 2020.
- Per Business Quant data, the three quarters before Q1 2023 came in at $485,712 (Q4 2022), $485,712 (Q3 2022) and $485,712 (Q2 2022).
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
| Date | Value |
|---|---|
| Mar 31, 2023 | 485,712.00 |
| Dec 31, 2022 | 485,712.00 |
| Sep 30, 2022 | 485,712.00 |
| Jun 30, 2022 | 485,712.00 |
| Mar 31, 2022 | 463,645.00 |
| Dec 31, 2021 | 472,029.00 |
| Sep 30, 2021 | -2.54 Mn |
| Jun 30, 2021 | -643,272.00 |
| Mar 31, 2021 | -640,587.00 |
| Dec 31, 2020 | 2.24 Mn |
Prairie Operating Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=PROP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=PROP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();