China Natural Resources (CHNR) Cost of Revenue (2009 - 2019)
China Natural Resources (CHNR) reported Cost of Revenue of $826,984 for FY2023.
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Analysis
China Natural Resources (CHNR) Cost of Revenue (2009 - 2019) Analysis & Trends
Dating back to FY2010, China Natural Resources' Cost of Revenue record includes 11 years.
- Cost of Revenue has a four-year compound annual growth rate of -18.0% (FY2019 to FY2023).
- The FY2023 figure ranks as the lowest annual Cost of Revenue in data going back to FY2010.
- According to Business Quant data, Cost of Revenue came in at $2.25 million in FY2022 (-22.8%), $2.91 million in FY2021 (+38.6%), $2.1 million in FY2020 (+14.7%) and $1.83 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - | - |
| 2 | Southern Copper | 154.30 Bn | 133.16 Bn | 2.90 Bn | 1.39 Bn |
| 3 | Rio Tinto | 135.37 Bn | 95.87 Bn | - | - |
| 4 | Newmont | 113.13 Bn | 78.45 Bn | 4.22 Bn | 2.14 Bn |
| 5 | Freeport-Mcmoran | 93.66 Bn | 89.81 Bn | 2.19 Bn | 4.84 Bn |
| 6 | Agnico Eagle Mines | 86.95 Bn | 76.58 Bn | 2.43 Bn | 953.76 Mn |
| 7 | Barrick Mining | 63.88 Bn | 48.62 Bn | 2.90 Bn | 2.40 Bn |
| 8 | Nucor | 58.56 Bn | 49.10 Bn | 2.03 Bn | 8.36 Bn |
| 9 | ArcelorMittal | 45.28 Bn | 26.31 Bn | - | - |
| 10 | China Natural Resources | 5.15 Mn | 3.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 202,027.52 |
| Jun 30, 2015 | 2.17 Mn |
| Jun 30, 2014 | 607,000.00 |
| Jun 30, 2013 | 1.29 Mn |
| Jun 30, 2012 | 3.51 Mn |
| Jun 30, 2011 | 6.17 Mn |
| Jun 30, 2010 | 2.32 Mn |
| Jun 30, 2009 | 1.81 Mn |
API Access
China Natural Resources Cost of Revenue 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=cost-of-revenue&ticker=CHNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CHNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();