Genoil (GNOLF) Return on Assets [ROA] (2017 - 2026)
Genoil (GNOLF) reported Return on Assets [ROA] of 14567085.36% for Q1 2026, up 14257055.79 percentage points from 310029.58% a year earlier and up 11548665.89 percentage points from the prior quarter.
Genoil (GNOLF) Return on Assets [ROA] (2017 - 2026) Analysis & Trends
For FY2025, Genoil posted Return on Assets [ROA] of -924.06%, up 190.61 percentage points from FY2024.
- Return on Assets [ROA] has increased for three consecutive years, though with a five-year change of -450.86 percentage points (FY2020 to FY2025).
- By year, Return on Assets [ROA] came in at -1114.67% in FY2024 (+1073.46 pp), -2188.13% in FY2023 (+72.80 pp), -2260.93% in FY2022 (-884.86 pp) and -1376.07% in FY2021 (-902.86 pp).
- The Q1 2026 figure ranks as the highest quarterly Return on Assets [ROA] in data going back to Q1 2015.
- Year over year, Return on Assets [ROA] gained in five of the last eight quarters, with an average year-over-year change of +2266271.75 percentage points.
- The high point for year-over-year Return on Assets [ROA] in five years was Q1 2026 (a gain of 14257055.79 percentage points); the low point was Q2 2025 (a drop of 654539.46 percentage points).
- Per Business Quant data, the three quarters before Q1 2026 came in at 3018419.47% (Q4 2025), 908120.37% (Q3 2025) and 506320.27% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.75 Bn | 72.19 Bn | 1.57 Bn | 5.65% |
| 2 | Baker Hughes | 48.33 Bn | 10.06 Bn | 1.96 Bn | 5.25% |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn | 7.75% |
| 4 | TechnipFMC | 25.53 Bn | 21.50 Bn | 728.70 Mn | 12.36% |
| 5 | Noble | 6.85 Bn | 4.92 Bn | 228.22 Mn | 0.75% |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn | 1.34% |
| 7 | Weatherford International | 6.08 Bn | 1.82 Bn | 374.00 Mn | 7.95% |
| 8 | Transocean | 6.08 Bn | 4.12 Bn | 348.00 Mn | 1.93% |
| 9 | Valaris | 5.60 Bn | 3.36 Bn | 176.30 Mn | 14.50% |
| 10 | Genoil | 40.37 Mn | 40.31 Mn | - | 575,678.47% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 575,678.47% |
| Dec 31, 2025 | 3,778.52% |
| Sep 30, 2025 | 908.12% |
| Jun 30, 2025 | 506.32% |
| Mar 31, 2025 | 828.99% |
| Dec 31, 2024 | 138.89% |
| Sep 30, 2024 | 1,130.07% |
| Jun 30, 2024 | 1,160.86% |
| Mar 31, 2024 | 1,856.37% |
| Dec 31, 2023 | -1,423.11% |
| Sep 30, 2023 | -1,016.22% |
| Jun 30, 2023 | -84,844.58% |
| Mar 31, 2023 | -95,604.11% |
| Dec 31, 2022 | -91,760.43% |
| Sep 30, 2022 | -474,397.51% |
| Jun 30, 2022 | -1,104.35% |
| Mar 31, 2022 | -1,469.38% |
| Dec 31, 2021 | -2.00% |
| Sep 30, 2021 | -205.63% |
| Jun 30, 2021 | -846.67% |
Genoil Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GNOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();