MKVENTURES (MKVENTURES) Fair Value & Analysis
IN · Market cap ₹4.6B
Fair value as of: Jul 5, 2026
From 21 valuation models · updated today
Share price +26.5% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹747.90 – ₹1,738 · fair‑value band ₹250.95 – ₹466.22 · the ₹1,190 price screens above the ₹326.05 fair value. As of Jul 5, 2026.
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MKVENTURES (MKVENTURES) currently trades at ₹1,190, while our model-based Fair Value estimate is ₹326.05 — implying the stock looks roughly 72.6% overvalued today. We read business quality at 52/100 (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, MKVENTURES generated revenue of ₹173M at a net margin of 61.1%. Revenue declined 54.5% year over year. It earns a return on equity of 9.8%. Net debt stands at ₹2.5B. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹250.95 (bear case) to ₹466.22 (bull case); at ₹1,190, the current price sits above that range. The share trades about 34% below its 52-week high and 63% above its 52-week low, currently above 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
FY2021 – FY2025 · reported fiscal years
MKVENTURES reported revenue of ₹24.5M in FY2025 versus ₹120M in FY2021, a compound −32.8%/yr. Reported net income was ₹106M in FY2025, compounding +23.5%/yr from FY2021.
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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.