Valuation Analysis Framework and Key Elements of Quartz Mines
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Based on my search results,
Although specific information about the case you inquired about cannot be obtained, I can introduce the
- Proven Reserves: Mineral resources confirmed through exploration projects
- Measured Resources: Resources with a high degree of geological control
- Inferred Resources: Resources based on geological inference
- Theoretical Mining Period= Mineable Reserves ÷ Annual Mining Volume
- Actual Mining Periodneeds to consider factors such as ore grade, mining conditions, ore dressing recovery rate, etc.
- Income Approach (DCF): Based on discounted future cash flows
- Market Approach: Refer to comparable transaction cases
- Cost Approach: Based on exploration costs and replacement costs
| Indicator | Description | Reference Range |
|---|---|---|
| Resource Reserves | Total ore quantity (10,000 tons) | Varies by deposit scale |
| Average Ore Grade | SiO₂ content (%) | High-purity quartz >99.99% |
| Ore Dressing Recovery Rate | Concentrate yield (%) | 60%-85% |
| Production Cost | Cost per ton of ore (CNY/ton) | Varies by mining conditions |
| Product Selling Price | Quartz sand price (CNY/ton) | High-purity quartz can reach tens of thousands of CNY per ton |
If a quartz mine indeed has a
- Large reserve scaleandstable ore grade
- Mine service lifecomplies with general mine design specifications (usually 20-30 years)
- Annual mining volume= Total reserves ÷ 24.2 years
- Valuation should fully consider long-term operational risksandmarket change factors
[0] Basic Information of Zhejiang Xinsheng Technology Co., Ltd. - Eastmoney.com New Third Board F10. (https://xinsanban.eastmoney.com/f10/874573.html)
If you can provide a more specific information source (such as an announcement, research report, or news link), I will be able to conduct a more precise analysis. Alternatively, if you want to understand the valuation logic of other specific quartz mine projects, I am also happy to further search and analyze for you.
Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.
About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.
