China Natural Resources (CHNR) Price to Book (2009 - 2025)
China Natural Resources' (CHNR) Price to Book was 0.37 for Q4 2025, down 20.0% from 0.46 a year earlier.
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Analysis
China Natural Resources (CHNR) Price to Book (2009 - 2025) Analysis & Trends
Dating back to Q4 2009, China Natural Resources' Price to Book record includes 26 quarters.
- Price to Book has declined for three consecutive years.
- By year, Price to Book came in at 0.47 in FY2024 (-61.9%), 1.24 in FY2023 (-25.0%), 1.66 in FY2022 (+99.6%) and 0.83 in FY2021 (-67.1%).
- Five-year quarterly Price to Book spans a low of 0.34 in Q2 2025 and a high of 2.75 in Q2 2021.
- The high point for year-over-year Price to Book in five years was Q4 2023 (growth of 102.4%); the low point was Q2 2022 (a decline of 63.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 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 |
|---|---|
| Dec 31, 2025 | 0.37 |
| Jun 30, 2025 | 0.34 |
| Dec 31, 2024 | 0.46 |
| Jun 30, 2024 | 0.49 |
| Dec 31, 2023 | 1.26 |
| Jun 30, 2023 | 0.71 |
| Dec 31, 2022 | 0.62 |
| Jun 30, 2022 | 1.00 |
| Dec 31, 2021 | 0.83 |
| Jun 30, 2021 | 2.75 |
| Dec 31, 2020 | 0.89 |
| Dec 31, 2019 | 2.21 |
| Dec 31, 2018 | 1.46 |
| Dec 29, 2017 | 13.57 |
| Jun 30, 2017 | 20.60 |
| Dec 31, 2016 | 31.94 |
| Jun 30, 2015 | 38.90 |
| Dec 31, 2014 | 15.96 |
| Jun 30, 2014 | 11.18 |
| Dec 31, 2013 | 1.29 |
API Access
China Natural Resources Price to Book 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=price-to-book&ticker=CHNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=CHNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();