Genoil (GNOLF) EPS (Diluted) (2022 - 2025)
Genoil (GNOLF) reported EPS (Diluted) of -$0.05 for Q4 2025, compared with -$0.83 a year earlier.
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Analysis
Genoil (GNOLF) EPS (Diluted) (2022 - 2025) Analysis & Trends
For FY2025, Genoil posted EPS (Diluted) of -$0.32.
- By year, EPS (Diluted) came in at -$1.08 in FY2024, -$0.02 in FY2023 and -$24.77 in FY2022.
- Five-year quarterly EPS (Diluted) spans a low of -$14.45 in Q1 2023 and a high of $14.16 in Q4 2023.
- Per Business Quant data, the three quarters before Q4 2025 came in at -$0.08 (Q3 2025), $0.00 (Q2 2025) and -$0.08 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 0.52 |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 0.68 |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 0.90 |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 0.64 |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 0.31 |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | -0.23 |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 0.14 |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 0.54 |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 0.72 |
| 10 | Genoil | 6.11 Mn | 6.01 Mn | - | -0.05 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -0.05 |
| Sep 30, 2025 | -0.08 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | -0.08 |
| Dec 31, 2024 | -0.83 |
| Sep 30, 2024 | -0.66 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | -0.65 |
| Dec 31, 2023 | 14.16 |
| Sep 30, 2023 | -0.83 |
| Jun 30, 2023 | -2.77 |
| Mar 31, 2023 | -14.45 |
| Dec 31, 2022 | -6.72 |
API Access
Genoil EPS (Diluted) 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=eps-diluted&ticker=GNOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();