GoldMining (GLDG) Return on Capital Employed [ROCE] (2020 - 2022)
GoldMining (GLDG) recorded Return on Capital Employed [ROCE] of -14.90% in FY2025 (year ended Nov 30, 2025), up 5.84 percentage points from -20.74% in FY2024.
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Analysis
GoldMining (GLDG) Return on Capital Employed [ROCE] (2020 - 2022) Analysis & Trends
Starting with FY2020, GoldMining's Return on Capital Employed [ROCE] history includes 6 fiscal years.
- Annual Return on Capital Employed [ROCE] has a five-year change of +1.26 percentage points (FY2020 to FY2025).
- The FY2025 figure is the highest annual Return on Capital Employed [ROCE] since FY2022.
- Per Business Quant data, GLDG's Return on Capital Employed [ROCE] was -20.74% in FY2024 (-2.55 pp), -18.19% in FY2023 (-9.72 pp), -8.47% in FY2022 (-100.09 pp) and 91.62% in FY2021 (+107.78 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - | - |
| 2 | Southern Copper | 154.30 Bn | 133.16 Bn | 2.90 Bn | 42.99% |
| 3 | Rio Tinto | 135.37 Bn | 95.87 Bn | - | - |
| 4 | Newmont | 113.13 Bn | 78.45 Bn | 4.22 Bn | 10.69% |
| 5 | Freeport-Mcmoran | 93.66 Bn | 89.81 Bn | 2.19 Bn | 13.20% |
| 6 | Agnico Eagle Mines | 86.95 Bn | 76.58 Bn | 2.43 Bn | 27.90% |
| 7 | Barrick Mining | 63.88 Bn | 48.62 Bn | 2.90 Bn | 22.21% |
| 8 | Nucor | 58.56 Bn | 49.10 Bn | 2.03 Bn | 13.42% |
| 9 | ArcelorMittal | 45.28 Bn | 26.31 Bn | - | 3.51% |
| 10 | GoldMining | 160.32 Mn | 11.57 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2022 | -10.61% |
| Aug 31, 2022 | -1.28% |
| May 31, 2022 | -5.86% |
| Feb 28, 2022 | 64.38% |
| Nov 30, 2021 | 64.48% |
| Aug 31, 2021 | 57.07% |
| May 31, 2021 | 87.26% |
| Feb 28, 2021 | -2,424.52% |
| Nov 30, 2020 | -2,449.81% |
API Access
GoldMining 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=GLDG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GLDG", "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=GLDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();