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Future Market Networks Limited (FMNL) Fair Value & Analysis

Real Estate · IN · Market cap ₹739M

Price₹10.98
Fair Value₹13.87
Upside+26.3%
Quality96/100
Evidence: High Range ₹13.25 – ₹20.14

Fair value as of: Jun 29, 2026

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Analysis

Future Market Networks Limited (FMNL) currently trades at ₹10.98, while our model-based Fair Value estimate is ₹13.87 — implying the stock looks roughly 26.3% undervalued today. We read business quality at 96/100 (high quality), in the Real Estate 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

Future Market Networks Limited, together with its subsidiaries, engages in organizing of wholesale, trade, retail, and logistics infrastructure projects in India. The company also manages and operates shopping infrastructures and retail spaces; develops large-scale warehouses; and provides mall management business. The company was formerly known as Agre Developers Limited and changed its name to Future Market Networks Limited in February 2012. The company was incorporated in 2008 and is based in Mumbai, India. Future Market Networks Limited is a subsidiary of Future Corporate Resources Private Limited.

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Frequently asked questions

Is Future Market Networks Limited (FMNL) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹13.87 versus a price of ₹10.98 — about +26% (undervalued). Model-based estimate, not financial advice.
What is the fair value of FMNL?
Our 21-model fair value for Future Market Networks Limited is ₹13.87 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹10.98.
What is the quality score of FMNL?
Future Market Networks 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.