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NLC India Limited (NLCINDIA) Fair Value & Analysis

Utilities · IN · Market cap ₹467B

Price₹327.15
Fair Value₹273.47
Upside-16.4%
Quality88/100
Evidence: Medium Range ₹205.10 – ₹341.83

Analysis

NLC India Limited (NLCINDIA) currently trades at ₹327.15, while our model-based Fair Value estimate is ₹273.47 — implying the stock looks roughly 16.4% overvalued today. We read business quality at 88/100 (high quality), in the Utilities 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: medium).

About the company

NLC India Limited engages in the mining and power generation business in India. The company mines for lignite and coal; and generates power through lignite and coal, as well as through thermal, solar, and wind power plants. It also operates open cast lignite mines with a mining capacity of 28.0 million tonnes per annum (MTPA) in Tamil Nadu and 30.10 MTPA in Rajasthan; and has total coal mining capacity of 20.00 MTPA. In addition, it provides consultancy services to the mining sector and firms in the solar power generation sector. Further, the company has a total installed thermal power generation capacity of 5,300 MW; and renewable energy generation capacity of 1,483.89 MW. It serves state distribution firms, commercial enterprises, and industrial consumers. The company was formerly known as Neyveli Lignite Corporation Limited and changed its name to NLC India Limited in April 2016. The company was incorporated in 1956 and is based in Cuddalore, India.

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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.