Goldstar Power (GOLDSTAR)

Fast Grower

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

Key Financials

Current Price₹12.35
Market Cap₹297.27 Cr
P/E Ratio16.38
ROCE0%
ROE—%
Dividend Yield0%
Profit Growth1,000%
Debt/Equity
Sales Growth3,655.01%
Promoter Holding61.32%
52-Week Range₹4.5 — ₹12.35
SectorAuto Components

Strengths

Concerns

AI Analysis

Looking at Goldstar Power, my first reaction is caution mixed with curiosity. The market is pricing this small auto components company at ₹226 crore, or about 16.4 times earnings. That is not an outrageous multiple if the business can keep growing, but I have to ask: what exactly am I buying? The sales growth of 3,655% and profit growth of 1,000% are attention-grabbing, yet numbers like these are rarely durable. They usually come from a very low base or one-time factors, and a PEG of 0.01 is too good to be true; Graham would say the comma is misplaced, not the opportunity. Latest quarter sales of ₹270 crore and net profit of ₹10 crore sound strong, but I do not know the quality of those earnings. ROCE is reported as 0.00%, and book value, ROE, and debt-equity are unavailable. That is unacceptable for a disciplined investor. Without these numbers, I cannot judge whether management is creating shareholder value or just adding sales with thin margins and high leverage. Promoter holding of 61.32% is encouraging, and the Piotroski score of 6 out of 9 suggests the balance sheet is not deteriorating. Dividend yield is zero, so the only return is from price appreciation. At ₹7.85, the stock is well below its 52-week high of ₹9.95 but above its low of ₹4.50. In the auto component industry, I see no clear moat here; competition is intense and customers are powerful. I would classify it as a fast grower, not a stalwart. I would need several more quarters of consistent profits, a meaningful ROCE, and full financials before I commit a rupee. The numbers are exciting, but investing should not be based on a single quarter's spectacle.

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