PATIDAR (PATIDAR) Fair Value & Analysis
IN · Market cap ₹33.6M
Fair value as of: Jul 5, 2026
From 6 valuation models · updated today
Share price −26.3% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹6.10 – ₹9.74 · fair‑value band ₹2.42 – ₹3.62 · the ₹6.10 price screens above the ₹3.05 fair value. As of Jul 5, 2026.
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PATIDAR (PATIDAR) currently trades at ₹6.10, while our model-based Fair Value estimate is ₹3.05 — implying the stock looks roughly 50.0% overvalued today. We read business quality at 50/100 (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: low).
Over the trailing twelve months, PATIDAR generated revenue of ₹3.4M at a net margin of -68.7%. Revenue declined 70.7% year over year. It earns a return on equity of -3.7%. Net debt stands at ₹16.1M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹2.42 (bear case) to ₹3.62 (bull case); at ₹6.10, the current price sits above that range. The share trades about 39% below its 52-week high and 1% 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
FY2021 – FY2025 · reported fiscal years
PATIDAR reported revenue of ₹3.4M in FY2025 versus ₹14.5M in FY2021, a compound −30.3%/yr. Reported net income was −₹2.3M in FY2025.
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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.