China Natural Resources (CHNR) Return on Capital Employed [ROCE] (2009 - 2022)
China Natural Resources (CHNR) reported Return on Capital Employed [ROCE] of -0.52% for FY2025, up 0.77 percentage points from -1.29% in FY2024.
China Natural Resources (CHNR) Return on Capital Employed [ROCE] (2009 - 2022) Analysis & Trends
Dating back to FY2009, China Natural Resources' Return on Capital Employed [ROCE] record includes 13 years.
- Return on Capital Employed [ROCE] has a five-year change of +19.61 percentage points (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Return on Capital Employed [ROCE] since FY2022.
- According to Business Quant data, Return on Capital Employed [ROCE] came in at -1.29% in FY2024 (+8.68 pp), -9.98% in FY2023 (-13.87 pp), 3.90% in FY2022 (+12.90 pp) and -9.00% in FY2021 (+11.12 pp).
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 | China Natural Resources | 4.85 Mn | 4.85 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -3.05% |
| Dec 31, 2021 | -11.25% |
| Jun 30, 2016 | -256.39% |
| Jun 30, 2015 | -203.27% |
| Jun 30, 2014 | -3.20% |
| Jun 30, 2013 | -5.35% |
| Jun 30, 2012 | -3.53% |
| Jun 30, 2011 | 1.30% |
| Jun 30, 2010 | 6.43% |
| Jun 30, 2009 | 15.97% |
China Natural 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=CHNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "CHNR", "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=CHNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();