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Shanghai Prosolar Resources Development Co (600193) Fair Value & Analysis

Industrials · CN · Market cap 68.1M CNY

Price¥0.1500
Fair Value¥0.0600
Upside-60.0%
Quality95/100
Evidence: Low Range ¥0.0300 – ¥0.0800

Fair value as of: Jun 26, 2026

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Analysis

Shanghai Prosolar Resources Development Co (600193) currently trades at ¥0.1500, while our model-based Fair Value estimate is ¥0.0600 — implying the stock looks roughly 60.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).

About the company

Shanghai Prosolar Resources Development Co., Ltd provides interior decoration, infrastructure engineering, and visual design services in China. Shanghai Prosolar Resources Development Co., Ltd was founded in 1996 and is based in Hangzhou, China.

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Frequently asked questions

Is Shanghai Prosolar Resources Development Co (600193) undervalued?
As of Jun 26, 2026, our model estimates a fair value of ¥0.0600 versus a price of ¥0.1500 — about −60% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600193?
Our 21-model fair value for Shanghai Prosolar Resources Development Co is ¥0.0600 (as of Jun 26, 2026), built from audited fundamentals. The current price is ¥0.1500.
What is the quality score of 600193?
Shanghai Prosolar Resources Development Co has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.