China Natural Resources (CHNR) Non Operating Interest Expenses (2010 - 2022)
China Natural Resources' Non Operating Interest Expenses was -$268,432 in FY2023.
Powered by 
Analysis
China Natural Resources (CHNR) Non Operating Interest Expenses (2010 - 2022) Analysis & Trends
From FY2009 onward, China Natural Resources has reported Non Operating Interest Expenses for 15 years.
- The FY2023 figure marks the highest annual Non Operating Interest Expenses since FY2019.
- Per Business Quant data, Non Operating Interest Expenses in earlier years was -$492,000 in FY2022, -$686,000 in FY2021, -$492,000 in FY2020 and $9,000 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | - |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | - |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -50.43 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 16.04 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | -26.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 36.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | -136.00 Mn |
| 10 | China Natural Resources | 5.01 Mn | 5.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -504,206.22 |
| Dec 31, 2021 | -655,825.42 |
| Jun 30, 2019 | -3,000.00 |
| Jun 30, 2017 | -6,000.00 |
| Mar 3, 2017 | -4,350.91 |
| Jun 30, 2016 | -13,000.00 |
| Jun 30, 2015 | -74,000.00 |
| Jun 30, 2014 | -16,000.00 |
| Jun 30, 2013 | -5.20 Mn |
| Jun 30, 2012 | -1.79 Mn |
| Jun 30, 2011 | -1.02 Mn |
| Jun 30, 2010 | -64,000.00 |
API Access
China Natural Resources Non Operating Interest 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=non-operating-interest-expenses&ticker=CHNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CHNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();