Nakornthon Hospital Public Company (NKT) Fair Value & Analysis
Healthcare · TH · Market cap 2.1B THB
Fair value as of: Jun 24, 2026
Analysis
Nakornthon Hospital Public Company (NKT) currently trades at 3.82 THB, while our model-based Fair Value estimate is 5.80 THB — implying the stock looks roughly 51.8% undervalued today. We read business quality at 91/100 (high quality), in the Healthcare 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: medium) — always confirm before acting.
About the company
Nakornthon Hospital Public Company Limited, together with its subsidiaries, operates a hospital that provides various medical services in Thailand. It offers centers for cancer, spine, orthopedics, rainbow services, pain management care, geriatric care, gastrointestinal and liver, neurology, children health, internal medicine, fertility, heart, wellness, aesthetics and skin, surgery, rehabilitation, eyes, women health, ears, nose, throat, breast, dental, allergy and immunology care, breastfeeding care, hemodialysis, emergency medicine, and medical imaging. The company is also involved in elderly and dependent care center. Nakornthon Hospital Public Company Limited was incorporated in 1993 and is based in Bangkok, Thailand.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Nakornthon Hospital Public Company (NKT) undervalued?
What is the fair value of NKT?
What is the quality score of NKT?
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.