Genoil (GNOLF) Land & Improvements (2017 - 2024)
Genoil's Land & Improvements came in at $43,163 for Q4 2023, unchanged from $43,163 a year earlier.
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Analysis
Genoil (GNOLF) Land & Improvements (2017 - 2024) Analysis & Trends
Going back to Q4 2020, Genoil's Land & Improvements data covers 4 quarters.
- Land & Improvements carries a three-year compound annual growth rate of 0.0% (FY2020 to FY2023).
- Going back by year, Land & Improvements was $43,163 in FY2022 (unchanged), $43,163 in FY2021 (unchanged) and $43,163 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.02 Bn | 69.95 Bn | 1.40 Bn | - |
| 2 | Baker Hughes | 53.20 Bn | 16.30 Bn | 1.58 Bn | - |
| 3 | Halliburton | 27.79 Bn | 19.51 Bn | 804.00 Mn | - |
| 4 | TechnipFMC | 26.38 Bn | 22.52 Bn | 684.70 Mn | - |
| 5 | Noble | 7.04 Bn | 4.97 Bn | 239.27 Mn | - |
| 6 | Transocean | 6.81 Bn | 4.52 Bn | 358.00 Mn | - |
| 7 | Nov | 6.75 Bn | 1.48 Bn | 521.00 Mn | - |
| 8 | Valaris | 6.40 Bn | 4.01 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 5.88 Bn | 1.62 Bn | 374.00 Mn | - |
| 10 | Genoil | 15.29 Mn | 15.18 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 43,163.00 |
| Jun 30, 2024 | 43,163.00 |
| Mar 31, 2024 | 43,163.00 |
| Dec 31, 2023 | 43,163.00 |
| Jun 30, 2023 | 43,163.00 |
| Mar 31, 2023 | 43,163.00 |
| Dec 31, 2022 | 43,163.00 |
| Sep 30, 2022 | 43,163.00 |
| Jun 30, 2022 | 43,163.00 |
| Mar 31, 2022 | 43,163.00 |
| Dec 31, 2021 | 43,163.00 |
| Sep 30, 2021 | 43,163.00 |
| Jun 30, 2021 | 43,163.00 |
| Mar 31, 2021 | 43,163.00 |
| Dec 31, 2020 | 43,163.00 |
| Sep 30, 2020 | 43,163.00 |
| Jun 30, 2020 | 43,163.00 |
| Mar 31, 2020 | 43,163.00 |
| Dec 31, 2019 | 43,163.00 |
| Dec 31, 2018 | 43,163.00 |
API Access
Genoil Land & Improvements 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=land-and-improvements&ticker=GNOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "GNOLF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();