SRIKPRIND (SRIKPRIND) Fair Value & Analysis
IN · Market cap ₹432M
Fair value as of: Jul 6, 2026
From 24 valuation models · updated today
Share price +1.4% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹17.30 – ₹36.06 · fair‑value band ₹33.67 – ₹48.08 · the ₹21.44 price screens below the ₹48.08 fair value. As of Jul 6, 2026.
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SRIKPRIND (SRIKPRIND) currently trades at ₹21.44, while our model-based Fair Value estimate is ₹48.08 — implying the stock looks roughly 124.3% undervalued today. We read business quality at 51/100 (solid 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, SRIKPRIND generated revenue of ₹157M at a net margin of 40.8%. Revenue declined 48.9% year over year. It earns a return on equity of 5.1%. Net debt stands at ₹6.8M. Fundamentals as of Jul 6, 2026
Our scenario range runs from ₹33.67 (bear case) to ₹48.08 (bull case); at ₹21.44, the current price sits below that range. The share trades about 44% below its 52-week high and 25% 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
FY2022 – FY2026 · reported fiscal years
SRIKPRIND reported revenue of ₹134M in FY2026 versus ₹89.4M in FY2022, a compound +10.7%/yr. Reported net income was ₹63.9M in FY2026, compounding +106.5%/yr from FY2022.
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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.