NRBBEARINGNRB Bearing Limited
Auto · Auto Parts · NSE · as of 2026-10-26 (delayed ~30 min in market hours)
NRB Bearings Limited, together with its subsidiaries, manufactures and sells ball and roller bearings for original equipment manufacturers in India and internationally. The company offers a range of friction solutions comprising drawn cup needle bearings, cylindrical roller bearings, polyamide and steel needle bearing cages, drawn cup cylindrical roller bearings, crank pins, full-complement needle bearings, special ball bearings, thrust bearings, formed strip cages for heavy gearboxes, tapered and spherical roller bearings, rocker-arm bearings, planetary shafts, and other special pins. Its products are used in the automotive sector and mobility applications. NRB Bearings Limited was incorporated in 1965 and is based in Mumbai, 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 NRBBEARING — 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
- • Profit growth: 79.7% YoY
- • Debt/Equity: 0.16
- • Valuation vs sector: P/E 29.6 vs sector 27.5
- • Price vs SMA200: above
- • Golden cross setup: SMA50 above SMA200
- • Trend strength (ADX): 27
Bull case
- • Profit growth: 79.7% YoY
- • Debt/Equity: 0.16
- • Valuation vs sector: P/E 29.6 vs sector 27.5
- • Price vs SMA200: above
Bear case
- • RSI: 27
- • MACD: bearish
- • 1-month return: -17.5%
- • 1-month vs NIFTY: -14.5% relative
Key risks
- • RSI: 27
- • MACD: bearish
Algorithmic analysis for research only — not SEBI-registered investment advice.
Trade Plan
Stop = 20-day support with a 2.5×ATR risk cap (ATR ₹21.73). Levels recompute on every data refresh. Position sizing and execution are yours — this is analysis, not advice.