Sharp Chucks and (SCML)

Cyclical

Score breakdown: P/E: 2/3 · ROCE: 1/2 · Growth: 2/2 · Dividend: 0/1

Key Financials

Current Price₹123.2
Market Cap₹148.89 Cr
P/E Ratio17.44
ROCE13.06%
ROE—%
Dividend Yield0%
Profit Growth23.96%
Debt/Equity
Sales Growth-2.34%
Promoter Holding68.25%
52-Week Range₹68.05 — ₹159.5
SectorIndustrial Products

Strengths

Concerns

AI Analysis

When I look at Sharp Chucks and, I try to judge the business before the price. The company is in castings and forgings, a field that can be rewarding but is often tied to industrial cycles. At ₹137, the market cap is ₹157 Cr, and the P/E is 17.44. That is not bargain-basement, but with reported profit growth of 23.96%, the PEG ratio of 0.73 initially suggests the market may be underestimating earnings power. However, I must be skeptical: sales growth is negative at -2.34%. Profits rising while sales shrink means margins are doing the heavy lifting, and that can be fragile unless it comes from genuine cost discipline or better product mix; the data alone cannot tell me which. The latest quarter shows sales of ₹133 Cr and net profit of ₹6 Cr. That is a decent margin, but one quarter is not a durable trend. ROCE of 13.06% is respectable but not exceptional, and I have no disclosed book value, debt/equity, or ROE. This bothers me. As Graham would say, you cannot value what you cannot measure. I also see no dividend; while young compounders can pay none, I prefer management to reinvest with visible returns. The Piotroski F-score of 6/9 is fair but not a strong green light. What I like is promoter holding at 68.25%. This aligns owners with shareholders and often signals commitment. The 52-week range of ₹68.05 to ₹159.50 tells me the stock has already had a big move; buying after a double is risky if the business is cyclical. I would not call it a stalwart yet, and with negative sales growth, I cannot call it a classic fast grower. It looks like a cyclical improving from a lower base. I would wait for sales growth to confirm the earnings recovery before committing.

Data from BSE/NSE filings. AI analysis is for educational purposes only — not investment advice. Scoring methodology · Disclaimer