TINNARUBR (TINNARUBR) Fair Value & Analysis
IN · Market cap ₹17.0B
Fair value as of: Jul 6, 2026
From 16 valuation models · updated today
Share price +13.8% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹533.55 – ₹1,052 · fair‑value band ₹439.76 – ₹969.37 · the ₹946.35 price screens above the ₹586.68 fair value. As of Jul 6, 2026.
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TINNARUBR (TINNARUBR) currently trades at ₹946.35, while our model-based Fair Value estimate is ₹586.68 — implying the stock looks roughly 38.0% overvalued today. We read business quality at 49/100 (below-average 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, TINNARUBR generated revenue of ₹5.5B at a net margin of 9.7%. Revenue grew 21.6% year over year. It earns a return on equity of 22.1%. Net debt stands at ₹1.2B. Fundamentals as of Jul 6, 2026
Our scenario range runs from ₹439.76 (bear case) to ₹969.37 (bull case); at ₹946.35, the current price sits within that range. The share trades about 12% below its 52-week high and 79% 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 6, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
TINNARUBR reported revenue of ₹5.5B in FY2026 versus ₹2.3B in FY2022, a compound +24.4%/yr. Reported net income was ₹528M in FY2026, compounding +33.0%/yr from FY2022.
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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.