Asian Paints Limited (ASIANPAINT.NS)
Materials · Specialty Chemicals · Asia-Pacific
Price in INR, last 5 years
- Last price
- ₹2,284.80 (Oct 22, 2026)
- 1-year return
- -7.8%
- 3-year annual return
- -8.8%
- 5-year annual return
- -4.3%
- 1-year volatility
- 24.1%
- Max drawdown (5Y)
- -39.0%
- Market cap (approx.)
- US$23.1B
- History available
- since Jan 1, 2014
About Asian Paints Limited
Asian Paints Limited (ASIANPAINT.NS) is a stock from India that trades on NSE (India) in INR. It operates in the materials sector, Specialty Chemicals industry. It's part of the Nifty 50.
Over the last year its price fell 7.8% in INR, with annual volatility of 24%: a moderately volatile asset. Its worst drop over the last five years was 39.0% from a peak.
If your currency isn't the INR, your real return will also depend on the exchange rate. In the optimizer you can choose your currency (USD, EUR, MXN, BRL, CLP, COP, PEN or ARS) and the calculation includes that currency risk.
How does it fit into a portfolio? What matters is not just its risk on its own, but how much it moves together with your other assets. Add it to your list and the optimizer will show you what weight the model would give it and why.
Other materials assets in Asia-Pacific
| Asset | 1 year | 1Y return | Volatility | Market cap | |
|---|---|---|---|---|---|
BHP Group LimitedBHP.AX · Stock · Materials | +36.7% | 30% | US$203.7B | ||
Rio Tinto GroupRIO.AX · Stock · Materials | +19.9% | 29% | US$171.5B | ||
Newmont CorporationNEM.AX · Stock · Materials | +25.0% | 46% | US$120.5B | ||
Zijin Mining Group Company Limited2899.HK · Stock · Materials | -5.8% | 49% | US$98.7B | ||
Shin-Etsu Chemical Co., Ltd.4063.T · Stock · Materials | +18.9% | 41% | US$67.0B | ||
UltraTech Cement LimitedULTRACEMCO.NS · Stock · Materials | -9.4% | 24% | US$34.0B | ||
Fortescue LtdFMG.AX · Stock · Materials | -24.3% | 30% | US$31.5B | ||
JSW Steel LimitedJSWSTEEL.NS · Stock · Materials | +6.5% | 25% | US$31.4B |
Disclaimer: Educational and simulation tool. It is not investment advice or a personalized recommendation. Past performance does not guarantee future results. Data for educational purposes; it may be delayed or contain errors.