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Max Financial Services Limited (MFSL) Fair Value & Analysis

Financial Services · IN · Market cap ₹551B

Price₹1,611
Fair Value₹3,000
Upside+86.1%
Quality96/100
Evidence: High Range ₹2,250 – ₹3,750

Fair value as of: Jun 26, 2026

Analysis

Max Financial Services Limited (MFSL) currently trades at ₹1,611, while our model-based Fair Value estimate is ₹3,000 — implying the stock looks roughly 86.1% undervalued today. We read business quality at 96/100 (high quality), in the Financial Services 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

Max Financial Services Limited, through its subsidiary, engages in life insurance business in India. The company operates through Business Investments and Others, and Life Insurance segments. It offers participating and nonparticipating and linked products covering life insurance, pension and health benefits, including riders for individual and group through individual agents, corporate agents, banks, brokers, and other channels. The company is also involved treasury investment activities; and provision of management advisory services. Max Financial Services Limited was incorporated in 1988 and is based in Noida, India.

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Frequently asked questions

Is Max Financial Services Limited (MFSL) undervalued?
As of Jun 26, 2026, our model estimates a fair value of ₹3,000 versus a price of ₹1,611 — about +86% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MFSL?
Our 21-model fair value for Max Financial Services Limited is ₹3,000 (as of Jun 26, 2026), built from audited fundamentals. The current price is ₹1,611.
What is the quality score of MFSL?
Max Financial Services Limited has a Quality Score of 96/100, 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.