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Arvind SmartSpaces Limited (ARVSMART) Fair Value & Analysis

Real Estate · IN · Market cap ₹27.8B

Price₹600.35
Fair Value₹357.46
Upside-40.5%
Quality86/100
Evidence: Medium Range ₹268.09 – ₹447.21

Fair value as of: Jun 29, 2026

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Analysis

Arvind SmartSpaces Limited (ARVSMART) currently trades at ₹600.35, while our model-based Fair Value estimate is ₹357.46 — implying the stock looks roughly 40.5% overvalued today. We read business quality at 86/100 (high quality), in the Real Estate 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

Arvind SmartSpaces Limited, together with its subsidiaries, engages in the development of real estate projects in India. The company develops residential, commercial, industrial, and hospitality projects, including villa townships, apartment complexes, plotted developments, commercial hubs, and industrial parks. It serves individual retail clients and corporate entities. The company was formerly known as Arvind Infrastructure Limited and changed its name to Arvind SmartSpaces Limited in November 2016. Arvind SmartSpaces Limited was incorporated in 2008 and is headquartered in Ahmedabad, India.

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Frequently asked questions

Is Arvind SmartSpaces Limited (ARVSMART) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹357.46 versus a price of ₹600.35 — about −40% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ARVSMART?
Our 21-model fair value for Arvind SmartSpaces Limited is ₹357.46 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹600.35.
What is the quality score of ARVSMART?
Arvind SmartSpaces Limited has a Quality Score of 86/100, 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.