LIBASLibas Consumer Products Limited
Consumer Durable · Apparel Manufacturing · NSE · as of 2026-10-26 (delayed ~30 min in market hours)
Libas Consumer Products Limited engages in the fabrication of fabric into garments and other products through customization in India. The company also engages in the trade of rock salt and other related material. It markets its products under the Riyaz Gangji Libas and the Reshma Riyaz Gangji Libas brands. The company was formerly known as Libas Designs Limited and changed its name to Libas Consumer Products Limited in November 2020. Libas Consumer Products Limited was incorporated in 2004 and is based in Mumbai, 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 LIBAS — 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.
Why avoid
- • Overall evidence is weak (AlgoScore 29/100)
- • Revenue growth: -30.2% YoY
- • Profit growth: -92.0% YoY
- • RSI: 35
- • MACD: bearish
Bull case
- • Debt/Equity: 0.17
- • Valuation vs sector: P/E 7.9 vs sector 23.8
- • Golden cross setup: SMA50 above SMA200
- • Volume: 1.7x 20-day average
Bear case
- • Revenue growth: -30.2% YoY
- • Profit growth: -92.0% YoY
- • RSI: 35
- • MACD: bearish
Key risks
- • Elevated volatility / drawdown profile — size positions accordingly
- • Weak fundamentals — technical strength may not sustain
- • Momentum is fading versus the broader market
- • Revenue growth: -30.2% YoY
- • Profit growth: -92.0% YoY
Algorithmic analysis for research only — not SEBI-registered investment advice.
Trade Plan
Stop = 20-day support with a 2.5×ATR risk cap (ATR ₹0.91). Levels recompute on every data refresh. Position sizing and execution are yours — this is analysis, not advice.