SIMRAN (SIMRAN) Fair Value & Analysis
IN · Market cap ₹750M
Fair value as of: Jul 6, 2026
From 15 valuation models · updated today
Share price +1.7% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹138.05 – ₹191.55 · fair‑value band ₹134.86 – ₹228.75 · the ₹155.90 price screens below the ₹179.81 fair value. As of Jul 6, 2026.
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SIMRAN (SIMRAN) currently trades at ₹155.90, while our model-based Fair Value estimate is ₹179.81 — implying the stock looks roughly 15.3% undervalued today. We read business quality at 40/100 (below-average quality). Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
Over the trailing twelve months, SIMRAN generated revenue of ₹8.8B at a net margin of 0.6%. Revenue grew 4.5% year over year. It earns a return on equity of 10.2%. Net debt stands at ₹322M. Fundamentals as of Jul 6, 2026
Our scenario range runs from ₹134.86 (bear case) to ₹228.75 (bull case); at ₹155.90, the current price sits within that range. The share trades about 21% below its 52-week high and 18% 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 6, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
SIMRAN reported revenue of ₹8.7B in FY2025 versus ₹3.9B in FY2021, a compound +22.1%/yr. Reported net income was ₹50.9M in FY2025, compounding −16.1%/yr from FY2021.
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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.