China Natural Resources (CHNR) Operating Expenses (2011 - 2019)
China Natural Resources' Operating Expenses was -$802,620 in FY2023.
Powered by 
Analysis
China Natural Resources (CHNR) Operating Expenses (2011 - 2019) Analysis & Trends
From FY2010 onward, China Natural Resources has reported Operating Expenses for 14 years.
- Annual Operating Expenses has moved between -$5.33 million (FY2020) and $1.78 million (FY2022) over five years.
- Per Business Quant data, Operating Expenses in earlier years was $1.78 million in FY2022, -$1.83 million in FY2021, -$5.33 million in FY2020 and -$2.88 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 160.91 Bn | 139.70 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 140.51 Bn | 101.01 Bn | - | - |
| 4 | Newmont | 123.27 Bn | 91.27 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 97.65 Bn | 81.70 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.90 Bn | 82.53 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 68.86 Bn | 44.06 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 60.25 Bn | 49.63 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.02 Bn | 27.05 Bn | - | -780.00 Mn |
| 10 | China Natural Resources | 5.05 Mn | 3.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -188,000.00 |
| Jun 30, 2018 | -192,000.00 |
| Jun 30, 2017 | -461,000.00 |
| Jun 30, 2016 | -319,000.00 |
| Jun 30, 2015 | -353,000.00 |
| Jun 30, 2014 | -421,000.00 |
| Jun 30, 2013 | -706,079.33 |
| Jun 30, 2012 | -3.35 Mn |
| Jun 30, 2011 | -2.68 Mn |
API Access
China Natural Resources Operating Expenses 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=operating-expenses&ticker=CHNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CHNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();