Genoil (GNOLF) EPS (Diluted) (2022 - 2026)
Genoil (GNOLF) reported EPS (Diluted) of $0.00 for Q1 2026, compared with -$0.08 a year earlier.
Analysis
Genoil (GNOLF) EPS (Diluted) (2022 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Genoil's EPS (Diluted) came in at -$0.08.
- By year, EPS (Diluted) came in at $0.00 in FY2024, -$0.02 in FY2023 and -$0.02 in FY2022.
- Five-year quarterly EPS (Diluted) spans a low of -$14.45 in Q1 2023 and a high of $18.03 in Q4 2022.
- Per Business Quant data, the three quarters before Q1 2026 came in at $0.00 (Q4 2025), -$0.08 (Q3 2025) and $0.00 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.79 Bn | 72.24 Bn | 1.57 Bn | 0.49 |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 0.41 |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn | 0.50 |
| 4 | TechnipFMC | 25.53 Bn | 21.49 Bn | 728.70 Mn | 1.05 |
| 5 | Noble | 6.84 Bn | 4.91 Bn | 228.22 Mn | -0.73 |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn | 0.25 |
| 7 | Weatherford International | 6.20 Bn | 1.98 Bn | 374.00 Mn | 1.66 |
| 8 | Transocean | 6.01 Bn | 4.06 Bn | 348.00 Mn | 0.02 |
| 9 | Valaris | 5.60 Bn | 3.36 Bn | 176.30 Mn | 0.66 |
| 10 | Genoil | 40.37 Mn | 40.31 Mn | - | 0.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.00 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | -0.08 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | -0.08 |
| Dec 31, 2024 | 0.00 |
| Sep 30, 2024 | -0.66 |
| Jun 30, 2024 | -0.85 |
| Mar 31, 2024 | -0.65 |
| Dec 31, 2023 | -0.01 |
| Sep 30, 2023 | -0.83 |
| Jun 30, 2023 | -2.77 |
| Mar 31, 2023 | -14.45 |
| Dec 31, 2022 | 18.03 |
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_KEY
import 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();