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Nanjing OLO Home Furnishing Co (603326) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 2.2B CNY

Price¥6.63
Fair Value¥10.27
Upside+54.9%
Quality95/100
Evidence: High Range ¥6.64 – ¥13.85

Fair value as of: Jun 24, 2026

Analysis

Nanjing OLO Home Furnishing Co (603326) currently trades at ¥6.63, while our model-based Fair Value estimate is ¥10.27 — implying the stock looks roughly 54.9% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Nanjing OLO Home Furnishing Co.,Ltd engages in the design, research and development, production, sale, and service of integrated kitchen cabinets and whole-house customized furniture products in China. The company is also involved in the development of artificial intelligence application software. It operates under the Wole Whole House Customization and Wole Kitchen Cabinets brand names. It sells its products to distributors, end-users, and bulk customers. The company was founded in 2006 and is headquartered in Nanjing, China.

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Frequently asked questions

Is Nanjing OLO Home Furnishing Co (603326) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥10.27 versus a price of ¥6.63 — about +55% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 603326?
Our 21-model fair value for Nanjing OLO Home Furnishing Co is ¥10.27 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥6.63.
What is the quality score of 603326?
Nanjing OLO Home Furnishing 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.