SAMBANDAMSambandam Spinning Mills Limited
Consumer Durable · Textile Manufacturing · NSE · as of 2026-09-11 (delayed ~30 min in market hours)
Sambandam Spinning Mills Limited manufactures and sells cotton and blended yarns in India. It offers sustainable yarns, including lyocell, linen, hemp fibre, wool, silk, bamboo, and banana fibre; cellulosic yarns, such as viscose, modal, lyocell, and bamboo; a range of R-Elan fabrics; solucell air yarns; and melange and core spun yarns. The company also generates and sells wind and solar power. It also exports its products. The company was incorporated in 1973 and is based in Salem, India.
Price & Volume
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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 SAMBANDAM — 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 30/100)
- • Recently listed — limited trading history, scores are provisional
- • Revenue growth: -6.2% YoY
- • Profit growth: -25.6% YoY
- • Insufficient price history
Bull case
- • Promoter holding: 71.4%
Bear case
- • Recently listed — limited trading history, scores are provisional
- • Revenue growth: -6.2% YoY
- • Profit growth: -25.6% YoY
- • Insufficient price history
Key risks
- • Elevated volatility / drawdown profile — size positions accordingly
- • Weak fundamentals — technical strength may not sustain
- • Momentum is fading versus the broader market
- • Recently listed — limited trading history, scores are provisional
- • Revenue growth: -6.2% 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 ₹7.59). Levels recompute on every data refresh. Position sizing and execution are yours — this is analysis, not advice.