ASHISHPO (ASHISHPO) Fair Value & Analysis
IN · Market cap ₹106M
Fair value as of: Jul 5, 2026
From 12 valuation models · updated yesterday
Share price +11.2% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹28.00 – ₹43.40 · fair‑value band ₹5.75 – ₹7.56 · the ₹31.20 price screens above the ₹7.02 fair value. As of Jul 5, 2026.
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ASHISHPO (ASHISHPO) currently trades at ₹31.20, while our model-based Fair Value estimate is ₹7.02 — implying the stock looks roughly 77.5% overvalued today. We read business quality at 47/100 (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: medium).
Over the trailing twelve months, ASHISHPO generated revenue of ₹150M at a net margin of 0.9%. Revenue grew 10.6% year over year. It earns a return on equity of 1.9%. Net debt stands at ₹10.2M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹5.75 (bear case) to ₹7.56 (bull case); at ₹31.20, the current price sits above that range. The share trades about 32% below its 52-week high and 19% 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
ASHISHPO reported revenue of ₹150M in FY2026 versus ₹162M in FY2022, a compound −1.9%/yr. Reported net income was ₹1.3M in FY2026, compounding −20.2%/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.