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Nongfu Spring Co (NNFSF) Fair Value & Analysis

Consumer Defensive · US · Market cap $60.1B

Price$5.34
Fair Value$9.48
Upside+77.5%
Quality95/100
Evidence: High Range $6.83 – $13.65

Analysis

Nongfu Spring Co (NNFSF) currently trades at $5.34, while our model-based Fair Value estimate is $9.48 — implying the stock looks roughly 77.5% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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

Nongfu Spring Co., Ltd. produces and sells packaged drinking water and beverage products primarily in Mainland China. It operates through five segments: Water Products, Ready-To-Drink Tea Products, Functional Drinks Products, Juice Beverage Products, and Other Products. The company offers edible ice; ready-to-drink tea beverages; functional drink products; fruit juice products; and other products, including beverage products, such as soda water beverage, coffee beverage, and plant-based beverages, as well as agricultural products comprising fresh fruits. It also provides supply chain management services, as well as engages in the beverage and IT research and development; and refined tea processing activities. The company was founded in 1996 and is headquartered in Hangzhou, China. Nongfu Spring Co., Ltd. is a subsidiary of Yangshengtang Co., Ltd.

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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.