HAVISHA (HAVISHA) Fair Value & Analysis
Consumer Cyclical · Market cap ₹200M
Fair value as of: Jul 3, 2026
From 2 valuation models · updated today
Share price −16.8% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹1.11 – ₹2.34 · fair‑value band ₹0.6700 – ₹1.34 · the ₹1.24 price screens above the ₹0.8900 fair value. As of Jul 3, 2026.
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HAVISHA (HAVISHA) currently trades at ₹1.24, while our model-based Fair Value estimate is ₹0.8900 — implying the stock looks roughly 28.2% overvalued today. We read business quality at 18/100 (below-average quality), in the Consumer Cyclical 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: low).
Over the trailing twelve months, HAVISHA generated revenue of ₹135M at a net margin of -37.3%. Revenue declined 3.3% year over year. It earns a return on equity of -21.9%. Net debt stands at ₹475M. 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
HAVISHA reported revenue of ₹135M in FY2026 versus ₹73.5M in FY2022, a compound +16.5%/yr. Reported net income was −₹50.4M in FY2026.
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Similar stocks
6 more Lodging stocks, each showing price versus our Fair Value estimate (as of Jul 3, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Marriott International, Inc MAR | $386.83 | $135.68 | -65% |
| Hilton Worldwide Holdings HLT | $342.93 | $123.66 | -64% |
| InterContinental Hotels Group IHG | $170.05 | $85.18 | -50% |
| Hyatt Hotels Corporation H | $190.63 | $54.44 | -71% |
| H World Group H1TH34 | R$62.64 | R$80.20 | +28% |
| Accor SA ACRFF | $57.35 | $44.83 | -22% |
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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.