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SRF Limited (SRF) Fair Value & Analysis

Industrials · IN · Market cap ₹802B

Price₹2,737
Fair Value₹1,053
Upside-61.5%
Quality97/100
Evidence: High Range ₹789.41 – ₹1,316

Analysis

SRF Limited (SRF) currently trades at ₹2,737, while our model-based Fair Value estimate is ₹1,053 — implying the stock looks roughly 61.5% overvalued today. We read business quality at 97/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

SRF Limited manufactures, purchases, and sells technical textiles, chemicals, packaging films, and other polymers. It operates through Technical Textiles Business, Chemicals Business, Performance Films and Foil Business, and Others segments. The company offers polyester and nylon tyre cord, belting, coated, and laminated fabrics; and industrial and polyester industrial yarns. It also provides fluorochemicals, such as refrigerants for room air-conditioner, automobile air-conditioner, refrigerator, and chillers under the FLORON brand; pharma propellants under the Dymel brand; industrial chemicals used in various applications comprising solvents in pharma, feedstock for agrochemicals, metal de-greasing, etching of stainless steel and glass, foam blowing agents, and dry-cleaning; and fluoropolymers, such as PTFE resins for automotive, chemical processing/plant construction, construction, electrical/electronic engineering, semiconductor, and pharma and medical applications under the Flon…

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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.