Fury Gold Mines (FURY) Return on Capital Employed [ROCE] (2018 - 2026)
Fury Gold Mines (FURY) posted Return on Capital Employed [ROCE] of -9.44% for the quarter ended Jun 30, 2026, down 148.53 percentage points from 139.09% a year earlier.
Fury Gold Mines (FURY) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Fury Gold Mines' Return on Capital Employed [ROCE] came in at 7.34%, down 71.94 percentage points from the prior year.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +5.60 percentage points (years ended Dec 2020 to Dec 2025).
- In prior years, Fury Gold Mines' Return on Capital Employed [ROCE] was 79.28% in the year ended Dec 31, 2024 (+70.36 pp), 8.92% in the year ended Dec 31, 2023 (+22.18 pp) and -13.26% in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Return on Capital Employed [ROCE] since the quarter ended Dec 31, 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in five of the last six quarters, with an average year-over-year change of +35.12 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was the quarter ended Jun 30, 2025, with a gain of 128.90 percentage points; the weakest was the quarter ended Jun 30, 2026, with a drop of 148.53 percentage points.
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 | Fury Gold Mines | 96.46 Mn | -21.08 Mn | - | -9.44% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.44% |
| Dec 31, 2025 | 114.41% |
| Sep 30, 2025 | 133.27% |
| Jun 30, 2025 | 139.09% |
| Dec 31, 2024 | 83.48% |
| Sep 30, 2024 | 11.04% |
| Jun 30, 2024 | 10.19% |
| Dec 31, 2023 | 9.23% |
| Sep 30, 2023 | 8.10% |
| Jun 30, 2023 | 11.02% |
| Mar 31, 2023 | 12.54% |
| Dec 31, 2022 | -13.20% |
| Sep 30, 2022 | -12.68% |
| Mar 31, 2022 | -17.19% |
| Sep 30, 2021 | 11.74% |
| Jun 30, 2021 | 7.21% |
| Mar 31, 2021 | 4.86% |
| Dec 31, 2020 | 1.59% |
| Sep 30, 2020 | 3.00% |
| Jun 30, 2020 | 2.91% |
Fury Gold Mines 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=FURY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FURY", "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=FURY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();