Aurum PropTech Limited (AURUM) Fair Value & Analysis
Real Estate · IN · Market cap ₹16.4B
Fair value as of: Jun 29, 2026
Analysis
Aurum PropTech Limited (AURUM) currently trades at ₹215.10, while our model-based Fair Value estimate is ₹41.59 — implying the stock looks roughly 80.7% overvalued today. We read business quality at 96/100 (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: high).
About the company
Aurum PropTech Limited engages in the business of software development for real estate and other services in India. It operates through Rental, Distribution, Capital, and Others segments. The company provides HelloWorld, a co-living platform for students and young professionals; Nestaway, a home rental platform that offers residences in prime urban neighborhoods; and MonkSpaces.Ai, which enables real estate businesses to monetize, manage, and maintain their rental portfolios. It also offers Aurum Analytica that delivers end-to-end solutions for the real estate lifecycle; Sell.do, a customer relationship management for real estate; Integrow Asset Management, provides technology-driven investment solutions spanning institutional-grade residential and commercial real estate; PropTech Pulse, a knowledge and lead-generation hub for the real estate; and Aurum KuberX, a home loan aggregation and SaaS platform that empowers real estate buyers to search and apply for home loans. In addition,…
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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.