KJMCCORP (KJMCCORP) Fair Value & Analysis
IN · Market cap ₹216M
Fair value as of: Jul 5, 2026
From 24 valuation models · updated today
Share price +3.7% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹42.92 – ₹74.99 · fair‑value band ₹60.53 – ₹124.75 · the ₹54.95 price screens below the ₹99.80 fair value. As of Jul 5, 2026.
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KJMCCORP (KJMCCORP) currently trades at ₹54.95, while our model-based Fair Value estimate is ₹99.80 — implying the stock looks roughly 81.6% undervalued today. We read business quality at 56/100 (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, KJMCCORP generated revenue of ₹118M at a net margin of 16.5%. Revenue grew 64.7% year over year. It earns a return on equity of 3.1%. Net debt stands at ₹53.4M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹60.53 (bear case) to ₹124.75 (bull case); at ₹54.95, the current price sits below that range. The share trades about 37% below its 52-week high and 34% 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
KJMCCORP reported revenue of ₹123M in FY2026 versus ₹56.0M in FY2022, a compound +21.8%/yr. Reported net income was ₹19.6M in FY2026, compounding +88.5%/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.