Gentor Resources (GNTOF) Return on Capital Employed [ROCE] (2011 - 2025)
Gentor Resources' Return on Capital Employed [ROCE] came in at -5.88% for Q3 2025, up 4.53 percentage points from the prior quarter.
Gentor Resources (GNTOF) Return on Capital Employed [ROCE] (2011 - 2025) Analysis & Trends
For FY2014, Gentor Resources' Return on Capital Employed [ROCE] was 876.51%, up 892.74 percentage points from FY2013.
- Return on Capital Employed [ROCE] carries a three-year change of +900.46 percentage points (FY2011 to FY2014).
- Going back by year, Return on Capital Employed [ROCE] was -16.24% in FY2013 (-2.54 pp), -13.70% in FY2012 (+10.26 pp) and -23.95% in FY2011.
- The Q3 2025 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2011.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 42.99% |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 9.92% |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | 7.19% |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 13.20% |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 42.05% |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 23.46% |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 13.42% |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | 3.51% |
| 10 | Gentor Resources | 778,134.82 | 778,134.82 | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -5.88% |
| Jun 30, 2025 | -10.41% |
| Sep 30, 2014 | -13,813.22% |
| Jun 30, 2014 | -3,602.00% |
| Mar 31, 2014 | -908.73% |
| Dec 31, 2013 | -253.62% |
| Sep 30, 2013 | -104.82% |
| Dec 31, 2012 | -90.07% |
| Mar 31, 2012 | -87.48% |
| Dec 31, 2011 | -14.56% |
| Sep 30, 2011 | -9.60% |
Gentor Resources Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GNTOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GNTOF", "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-capital-employed-%5Broce%5D&ticker=GNTOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();