China Natural Resources (CHNR) Interest Expenses (2010 - 2022)
China Natural Resources' Interest Expenses came in at -$268,432 for FY2023.
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Analysis
China Natural Resources (CHNR) Interest Expenses (2010 - 2022) Analysis & Trends
Going back to FY2009, China Natural Resources' Interest Expenses data covers 15 years.
- The FY2023 figure represents the highest annual Interest Expenses since FY2020.
- Per Business Quant, earlier years put Interest Expenses at -$492,000 in FY2022, -$650,057 in FY2021, $6,000 in FY2020 (-31.0%) and $8,690 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | -2,787.60 |
| 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 | -15,591.52 |
| 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 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=interest-expenses&ticker=CHNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=CHNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();