China Natural Resources (CHNR) Operating Margin (2009 - 2019)
China Natural Resources (CHNR) reported Operating Margin of 98.64% for FY2023.
Analysis
China Natural Resources (CHNR) Operating Margin (2009 - 2019) Analysis & Trends
Dating back to FY2010, China Natural Resources' Operating Margin record includes 11 years.
- Operating Margin has a four-year change of +102.45 percentage points (FY2019 to FY2023).
- The FY2023 figure ranks as the highest annual Operating Margin in data going back to FY2010.
- According to Business Quant data, Operating Margin came in at 28.73% in FY2022 (+153.54 pp), -124.81% in FY2021 (+26.48 pp), -151.29% in FY2020 (-147.49 pp) and -3.80% in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 61.16% |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 16.48% |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | 12.17% |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | 6.29% |
| 10 | China Natural Resources | 5.01 Mn | 5.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -90.69% |
| Jun 30, 2015 | -68.59% |
| Jun 30, 2014 | -0.01% |
| Jun 30, 2013 | -86.96% |
| Jun 30, 2012 | -26.79% |
| Jun 30, 2011 | 5.97% |
| Jun 30, 2010 | -64.33% |
| Jun 30, 2009 | 0.01% |
API Access
China Natural Resources Operating Margin 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-margin&ticker=CHNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=CHNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();