HUBTOWN (HUBTOWN) Fair Value & Analysis
Real Estate · Market cap ₹30.3B
Fair value as of: Jul 3, 2026
From 26 valuation models · updated today
Share price +3.0% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹172.03 – ₹363.65 · fair‑value band ₹112.54 – ₹222.05 · the ₹213.04 price screens above the ₹170.45 fair value. As of Jul 3, 2026.
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HUBTOWN (HUBTOWN) currently trades at ₹213.04, while our model-based Fair Value estimate is ₹170.45 — implying the stock looks roughly 20.0% overvalued today. We read business quality at 40/100 (below-average 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).
Over the trailing twelve months, HUBTOWN generated revenue of ₹6.4B at a net margin of 23.1%. Revenue grew 65.4% year over year. It earns a return on equity of 6.4%. Net debt stands at ₹8.7B. Fundamentals as of Jul 3, 2026
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 3, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
HUBTOWN reported revenue of ₹6.4B in FY2026 versus ₹1.7B in FY2022, a compound +39.3%/yr. Reported net income was ₹1.5B in FY2026.
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Similar stocks
6 more Real Estate - Development stocks, each showing price versus our Fair Value estimate (as of Jul 3, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Vinhomes Joint Stock Company VHM | 146,800 VND | 367,000 VND | +150% |
| DLF Limited DLF | ₹577.70 | ₹263.02 | -54% |
| PT Pantai Indah Kapuk Dua Tbk, PANI | 6,325 IDR | 1,330 IDR | -79% |
| Lodha Developers Limited LODHA | ₹894.45 | ₹721.45 | -19% |
| Oberoi Realty Limited OBEROIRLTY | ₹1,633 | ₹1,368 | -16% |
| Godrej Properties Limited GODREJPROP | ₹1,708 | ₹2,070 | +21% |
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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.