MAXHEIGHTS (MAXHEIGHTS) Fair Value & Analysis
IN · Market cap ₹190M
Fair value as of: Jul 5, 2026
From 23 valuation models · updated today
Share price +5.3% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹10.73 – ₹16.01 · fair‑value band ₹8.70 – ₹15.05 · the ₹12.15 price screens above the ₹11.82 fair value. As of Jul 5, 2026.
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MAXHEIGHTS (MAXHEIGHTS) currently trades at ₹12.15, while our model-based Fair Value estimate is ₹11.82 — implying the stock looks roughly 2.7% overvalued today. We read business quality at 59/100 (solid quality). 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, MAXHEIGHTS generated revenue of ₹84.9M at a net margin of 11.6%. Revenue grew 24.8% year over year. It earns a return on equity of 3.0%. Net debt stands at ₹10.5M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹8.70 (bear case) to ₹15.05 (bull case); at ₹12.15, the current price sits within that range. The share trades about 28% below its 52-week high and 20% above its 52-week low, currently below its 200-day average.
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 5, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
MAXHEIGHTS reported revenue of ₹82.7M in FY2026 versus ₹54.3M in FY2022, a compound +11.1%/yr. Reported net income was ₹9.8M in FY2026.
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Frequently asked questions
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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.
Not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.