Genoil (GNOLF) Shares Outstanding (2009 - 2026)
Genoil's Weighted Average Shares Outstanding was 611.4 million in Q1 2026, down 68.5% from 1.94 billion a year earlier and unchanged from the prior quarter.
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Analysis
Genoil (GNOLF) Shares Outstanding (2009 - 2026) Analysis & Trends
From Q1 2009 onward, Genoil has reported Weighted Average Shares Outstanding for 63 quarters.
- Weighted Average Shares Outstanding shows a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 1.94 billion in FY2024 (+64.0%), 1.18 billion in FY2023 (+76.6%), 669.82 million in FY2022 (+8.4%) and 618.12 million in FY2021 (+6.0%).
- Quarterly Weighted Average Shares Outstanding has moved between 583.03 million (Q2 2021) and 1.94 billion (Q3 2025) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding was higher in six of the last eight quarters, with growth averaging 34.0%.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q3 2024 (growth of 76.6%); the worst was Q4 2025 (a decline of 68.5%).
- Per Business Quant data, GNOLF's Weighted Average Shares Outstanding in the three quarters before Q1 2026 was 611.4 million (Q4 2025), 1.94 billion (Q3 2025) and 1.94 billion (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.79 Bn | 72.24 Bn | 1.57 Bn | 1.48 Bn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 993.00 Mn |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn | 831.00 Mn |
| 4 | TechnipFMC | 25.53 Bn | 21.49 Bn | 728.70 Mn | 391.60 Mn |
| 5 | Noble | 6.84 Bn | 4.91 Bn | 228.22 Mn | 159.65 Mn |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn | 357.00 Mn |
| 7 | Weatherford International | 6.20 Bn | 1.98 Bn | 374.00 Mn | 71.90 Mn |
| 8 | Transocean | 6.01 Bn | 4.06 Bn | 348.00 Mn | 1.12 Bn |
| 9 | Valaris | 5.60 Bn | 3.36 Bn | 176.30 Mn | 69.40 Mn |
| 10 | Genoil | 40.37 Mn | 40.31 Mn | - | 611.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 611.40 Mn |
| Dec 31, 2025 | 611.40 Mn |
| Sep 30, 2025 | 1.94 Bn |
| Jun 30, 2025 | 1.94 Bn |
| Mar 31, 2025 | 1.94 Bn |
| Dec 31, 2024 | 1.94 Bn |
| Sep 30, 2024 | 1.18 Bn |
| Jun 30, 2024 | 1.18 Bn |
| Mar 31, 2024 | 1.18 Bn |
| Dec 31, 2023 | 1.18 Bn |
| Sep 30, 2023 | 669.82 Mn |
| Jun 30, 2023 | 669.82 Mn |
| Mar 31, 2023 | 669.82 Mn |
| Dec 31, 2022 | 669.82 Mn |
| Sep 30, 2022 | 618.12 Mn |
| Jun 30, 2022 | 618.12 Mn |
| Mar 31, 2022 | 618.12 Mn |
| Dec 31, 2021 | 618.12 Mn |
| Sep 30, 2021 | 583.03 Mn |
| Jun 30, 2021 | 583.03 Mn |
API Access
Genoil 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=GNOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();