China Natural Resources (CHNR) Intangibles (2017 - 2023)
China Natural Resources (CHNR) posted Intangibles of $2.62 million for Q2 2023, down 11.3% from $2.95 million a year earlier.
Analysis
China Natural Resources (CHNR) Intangibles (2017 - 2023) Analysis & Trends
At the end of FY2022, China Natural Resources' Intangibles came in at $3.01 million, down 5.3% from FY2021.
- Annual Intangibles shows a five-year compound annual growth rate of 427.0% (FY2017 to FY2022).
- In prior years, China Natural Resources' Intangibles was $3.18 million in FY2021 and $16,674 in FY2020.
- The Q2 2023 figure stands as the lowest quarterly Intangibles since Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 5.13 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 | 1.04 Bn |
| 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 | - |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 148.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 2.75 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | China Natural Resources | 5.01 Mn | 5.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 2.62 Mn |
| Dec 31, 2022 | 2.73 Mn |
| Jun 30, 2022 | 2.95 Mn |
| Dec 31, 2021 | 3.16 Mn |
| Jun 30, 2021 | 88,000.00 |
| Dec 31, 2020 | 17,352.73 |
| Dec 29, 2017 | 755.63 |
API Access
China Natural Resources Intangibles 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=intangibles&ticker=CHNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=CHNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();