China Natural Resources (CHNR) Selling, General & Administrative (2011 - 2022)
China Natural Resources' Selling, General & Administrative was -$802,620 in FY2023.
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Analysis
China Natural Resources (CHNR) Selling, General & Administrative (2011 - 2022) Analysis & Trends
From FY2010 onward, China Natural Resources has reported Selling, General & Administrative for 14 years.
- Annual Selling, General & Administrative has moved between -$5.33 million (FY2020) and $1.78 million (FY2022) over five years.
- Per Business Quant data, Selling, General & Administrative in earlier years was $1.78 million in FY2022, -$3.6 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) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | China Natural Resources | 4.85 Mn | 4.85 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -1.62 Mn |
| Dec 31, 2021 | -1.84 Mn |
| Jun 30, 2019 | -188,000.00 |
| Jun 30, 2018 | -192,000.00 |
| Jun 30, 2017 | -461,000.00 |
| Mar 3, 2017 | -143,725.22 |
| Jun 30, 2016 | -319,000.00 |
| Jun 30, 2015 | -353,000.00 |
| Jun 30, 2014 | -421,000.00 |
| Jun 30, 2013 | -6.86 Mn |
| Jun 30, 2012 | -3.33 Mn |
| Jun 30, 2011 | -2.68 Mn |
API Access
China Natural Resources Selling, General & Administrative 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=selling-general-and-administrative&ticker=CHNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CHNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();