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JSW Infrastructure Limited (JSWINFRA) Fair Value & Analysis

Industrials · IN · Market cap ₹580B

Price₹314.95
Fair Value₹140.36
Upside-55.4%
Quality91/100
Evidence: High Range ₹99.78 – ₹212.74

Analysis

JSW Infrastructure Limited (JSWINFRA) currently trades at ₹314.95, while our model-based Fair Value estimate is ₹140.36 — implying the stock looks roughly 55.4% overvalued today. We read business quality at 91/100 (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

JSW Infrastructure Limited, an infrastructure development company, operates commercial ports in India and internationally. It operates in two segments, Port Operations and Logistic Operation. The company's activities include developing, operating, and maintaining port services; ports related infrastructure development activities; and developing infrastructure projects. It also provides maritime related services, including cargo handling, storage, logistics, and other value-added services. In addition, the company develops and operates ports and port terminals. JSW Infrastructure Limited was formerly known as JSW Infrastructure & Logistics Limited and changed its name to JSW Infrastructure Limited in March 2008. The company was founded in 1999 and is based in Mumbai, India. JSW Infrastructure Limited is a subsidiary of Sajjan Jindal Family Trust.

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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.