PNGJLP N Gadgil Jewellers Limited
Consumer Durable · Luxury Goods · NSE · as of 2026-10-26 (delayed ~30 min in market hours)
P N Gadgil Jewellers Limited, together with its subsidiaries, engages in the retail sale of gems, diamonds, semi-precious stones, and jewellery products in India and the United States. The company sells traditional, modern, and functional jewellery in gold, silver, platinum, and diamond, including earrings, rings, necklaces, pendants, mangalsutras, bracelets and bangles, and nosepins, as well as naths, chains, and bullions. It also engages in the manufacture and sale of jewellery products. The company sells its products through retail stores and various online marketplaces, as well as through its e-commerce website. P N Gadgil Jewellers Limited was founded in 1832 and is headquartered in Pune, India.
Price & Volume
Loading chart…
Key Ratios
“—” means the figure isn't meaningful or isn't published for this company: ROE and Debt/Equity are undefined when shareholder equity is negative (check P/B — negative means negative equity), and DII/MF holding splits aren't provided by our current data source.
Active Pattern Signals
None of the 16 pattern scanners currently detects a setup on PNGJL — signals appear here automatically when one forms (checked on every data refresh). The Trade Plan on the right always provides stop-loss and target levels regardless.
The picture
- • Revenue growth: 123.2% YoY
- • Profit growth: 45.5% YoY
- • ROE: 23.3%
- • Golden cross setup: SMA50 above SMA200
- • Volatility: 33% annualized
- • Beta: 0.90
Bull case
- • Revenue growth: 123.2% YoY
- • Profit growth: 45.5% YoY
- • ROE: 23.3%
- • Golden cross setup: SMA50 above SMA200
Bear case
- • Dividend yield: 0.00%
- • RSI: 35
- • MACD: bearish
- • 1-month return: -5.8%
Key risks
- • Momentum is fading versus the broader market
- • Dividend yield: 0.00%
- • RSI: 35
Algorithmic analysis for research only — not SEBI-registered investment advice.
Trade Plan
Stop = 20-day support with a 2.5×ATR risk cap (ATR ₹21.14). Levels recompute on every data refresh. Position sizing and execution are yours — this is analysis, not advice.