NSL Foods Public Company (NSL) Fair Value & Analysis
Consumer Defensive · TH · Market cap 6.4B THB
Fair value as of: Jun 24, 2026
Analysis
NSL Foods Public Company (NSL) currently trades at 21.50 THB, while our model-based Fair Value estimate is 39.87 THB — implying the stock looks roughly 85.4% undervalued today. We read business quality at 94/100 (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
NSL Foods Public Company Limited engages in the manufacture and distribution of bakery and snack products in Thailand. The company offers snacks, bakeries, desserts, and other food products. It is also involved in the wholesale of frozen and processed fish, aquatic products, meat, seaweed, vegetables, and hold investment in other companies; and processing of meat products such as descaling, slicing, and portioning into various sizes with packaging options for convenient meal preparation to restaurants, hotels, catering services, and international schools. The company offers its products under Eazy Taste, Eazy Sweet, Eazy Bake, Seven Fresh, Kao Tang by NSL, Pang Thai, Natural Bite, NSL Bakery, and NSL Selection through various points of sale, such as convenient stores, supermarkets, wholesalers, hypermarkets, and cash and carry, as well as markets, grocery stores, souvenir stores, and gift shops. In addition, it is involved in exporting and importing products; manufacture, processing…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is NSL Foods Public Company (NSL) undervalued?
What is the fair value of NSL?
What is the quality score of NSL?
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.