RNIT AI Solutions Ltd vs Bajaj Auto Limited

A side-by-side comparison of RNIT AI Solutions Ltd (AUTOPALIND) and Bajaj Auto Limited (BAJAJ-AUTO) — valuation, profitability, growth, and financial health — to help you judge which is the stronger buy today.

The verdict

On the numbers, Bajaj Auto Limited leads AUTOPALIND vs BAJAJ-AUTO on 9 of 14 metrics. See the breakdown below — the right pick still depends on your goals (value vs growth, risk appetite).

Valuation

How expensive each stock is relative to its earnings and book value. Lower usually means cheaper.

41.70
P/E ratio
28.95
3.61
P/B ratio
7.10
0.00%
Dividend yield
1.45%
₹1.42
EPS
₹384.41

Profitability

How efficiently each company turns capital and sales into profit. Higher is better.

16.60%
Return on equity
29.20%
20.00%
Return on capital
28.00%
40.00%
EBITDA margin
21.00%
23.08%
Net margin
16.81%

Growth

Three-year compounded growth. Faster-growing businesses can justify a higher valuation.

14.11%
Revenue CAGR (3Y)
19.94%
128.94%
Profit CAGR (3Y)
20.39%

Size & financial health

Scale and balance-sheet strength. Bigger revenue/profit and lower debt are generally safer.

₹515 Cr
Market cap
₹3.11L Cr
₹52 Cr
Revenue
₹62,905 Cr
₹12 Cr
Net profit
₹10,574 Cr
0.13
Debt / equity
0.58
RNIT AI Solutions Ltd
  • + ["Company is expected to give good quarter"]
  • ["Though the company is reporting repeated profits, it is not paying out dividend", "Promoter holding has decreased over last quarter: -4.19%"]
Bajaj Auto Limited
  • + ["Company is expected to give good quarter", "Company has a good return on equity (ROE) track record: 3 Years ROE 26.3%", "Company has been maintaining a healthy dividend payout of 49.4%"]
  • ["Stock is trading at 8.01 times its book value"]
RNIT AI Solutions Ltd full analysis Bajaj Auto Limited full analysis

This comparison is for informational purposes only and is not investment advice. Please consult a SEBI-registered advisor before investing.

RNIT AI Solutions Ltd vs Bajaj Auto Limited: Share Price, Valuation & Which to Buy | DocStoX