L&T Finance Limited (LTF) Fair Value & Analysis
Financial Services · IN · Market cap ₹673B
Analysis
L&T Finance Limited (LTF) currently trades at ₹286.35, while our model-based Fair Value estimate is ₹237.97 — implying the stock looks roughly 16.9% overvalued today. We read business quality at 97/100 (high quality), in the Financial Services 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
L&T Finance Limited, a non-banking financial company, provides various financial products and services in India. It offers housing loans; personal loans for medical emergencies, home renovation, wedding, vacation, education, and debt consolidation; two-wheeler loans; business loans, such as SME, doctor, chartered accountant, and professional loans, as well as supply chain financing solutions; rural loans comprising vikaas loans, vishwas loans, pragati loans, RLAP balance transfer, and micro loans against property; farmer loans, including new tractor loans, agri-implement loans, kisan suvidha top up, kisan suvidha top up plus, refinance loan, and warehouse receipt finance services; gold loans, such as sukhad loan, sampati loan, saraswati loan, safalta loan, sugam loan, and shubh loan; and loans against property. The company was formerly known as L&T Finance Holdings Limited and changed its name to L&T Finance Limited in March 2024. The company was incorporated in 1994 and is headquar…
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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.