Bajaj Finserv Share Price Target 2025 To 2050 Experts Analysis & Forecast

Bajaj Finserv Share Price Target 2025, 2030, 2040, 2050: Bajaj Finserv Ltd. (NSE: BAJAJFINSV) is one of India’s largest and most diversified financial services firms, providing a range of offerings including insurance, financing, asset management, and wealth management. Given its strong market presence, investors are keen on understanding the future trajectory of Bajaj Finserv’s share price, making it a prominent player in India’s financial landscape.

What is Bajaj Finserv Ltd?

Bajaj Finserv holds several key subsidiaries under the Bajaj Group, including consumer finance, life insurance, and general insurance. The company is recognized as a leader in India’s financial services sector, bolstered by a robust distribution network and a focus on digital transformation and customer-centric innovations. Bajaj Finserv continues to innovate, offering a wide variety of financial products and solutions that cater to both individuals and businesses.

Bajaj Finserv Fundamental Analysis

Metric Value
Market Cap ₹243,382 Crore
P/E Ratio 332.25
Book Value ₹1,239
Dividend Yield 0.49%
ROCE 11.9%
ROE 22.0%
Debt to Equity 3.82
Promoter Holding 60.78%
EPS (TTM) ₹233

Bajaj Finserv Share Details

Metric Value
Open ₹1,878.00
High ₹1,880.00
Low ₹1,825.00
Market Cap ₹2.94 LCr
P/E Ratio 34.59
Dividend Yield 0.054%
52-Week High ₹2,029.90
52-Week Low ₹1,419.05

Bajaj Finserv Share Price Target 2025, 2030, 2040 To 2050

Bajaj Finserv Share Price Target 2025 ₹2347, 2030 ₹17,000, 2040 ₹35,000 To 2050 ₹60,000. Bajaj Finserv Limited is an Indian non-banking financial services company headquartered in Pune. It is focused on lending, asset management, wealth management and insurance.

  • Founded: 30 April 2007
  • Headquarters: Pune
  • Number of employees: 92,079 (2025)
  • Parent organization: Bajaj Group
  • Revenue: 82,072 crores INR (US$10 billion, 2025)
  • Subsidiaries: Bajaj Finance, Bajaj Allianz Life Insurance ·

Bajaj Finserv Share Price Target 2025 To 2050

Year Minimum Price (₹) Maximum Price (₹)
2025 ₹1560 ₹2347
2030 ₹15,000 ₹17,000
2040 ₹30,000 ₹35,000
2050 ₹50,000 ₹60,000

Category: SHARE PRICE

Bajaj Finserv Share Price Target 2025

Bajaj Finserv is expect to continue its steady growth trajectory in 2025. With increasing demand for its diversified financial products and services, strong brand recognition, and a focus on tech-driven solutions, the company’s share price is project to range between ₹1,560 and ₹2,347 for 2025. As Bajaj Finserv maintains its market-leading position and expands further into digital financial solutions, it is poised for consistent performance.

  • Minimum Price (₹): 1,560
  • Maximum Price (₹): 2,347

Month Wise Bajaj Finserv Share Price Target 2025

Month Minimum Price (₹) Maximum Price (₹)
January 1,560 1,856
February 1,617 1,938
March 1,722 1,989
April 1,750 1,998
May 1,774 2,025
June 1,790 2,042
July 1,830 2,088
August 1,865 2,110
September 1,887 2,135
October 1,930 2,168
November 1,987 2,230
December 2,058 2,347

Bajaj Finserv Share Price Target 2030

Looking towards 2030, Bajaj Finserv’s market position is expect to solidify further. With strategic investments in digital infrastructure, new business areas, and customer-centric innovations, the company is projected to maintain a strong growth path. By 2030, its share price is expect to range from ₹15,000 to ₹17,000, reflecting its long-term potential and market dominance in the Indian financial services space.

  • Minimum Price (₹): 15,000
  • Maximum Price (₹): 17,000

Month Wise Bajaj Finserv Share Price Target 2030

Month Minimum Price (₹) Maximum Price (₹)
January 15,000 15,200
February 15,200 15,400
March 15,400 15,600
April 15,600 15,800
May 15,800 16,000
June 16,000 16,200
July 16,200 16,400
August 16,400 16,600
September 16,600 16,800
October 16,800 17,000
November 16,900 17,000
December 17,000 17,000

Bajaj Finserv Share Price Target 2040

By 2040, Bajaj Finserv is expect to solidify its position not only in India but potentially on a global scale. The company’s long-term goals of diversification, technological innovation, and sustainable growth should yield favorable results, with the share price project to range between ₹30,000 and ₹35,000.

  • Minimum Price (₹): 30,000
  • Maximum Price (₹): 35,000

Month Wise Bajaj Finserv Share Price Target 2040

Month Minimum Price (₹) Maximum Price (₹)
January 30,000 30,500
February 30,500 31,000
March 31,000 31,500
April 31,500 32,000
May 32,000 32,500
June 32,500 33,000
July 33,000 33,500
August 33,500 34,000
September 34,000 34,500
October 34,500 35,000
November 34,750 35,000
December 35,000 35,000

Bajaj Finserv Share Price Target 2050

Forecasting for 2050, Bajaj Finserv’s share price shows significant potential for growth, despite uncertainties relate to regulatory changes, technological advancements, and the broader economic landscape. Assuming the company continues to evolve and expand, the project share price range for 2050 is ₹50,000 to ₹60,000.

  • Minimum Price (₹): 50,000
  • Maximum Price (₹): 60,000

Month Wise Bajaj Finserv Share Price Target 2050

Month Minimum Price (₹) Maximum Price (₹)
January 50,000 51,000
February 51,000 52,000
March 52,000 53,000
April 53,000 54,000
May 54,000 55,000
June 55,000 56,000
July 56,000 57,000
August 57,000 58,000
September 58,000 59,000
October 59,000 60,000
November 59,500 60,000
December 60,000 60,000

What is the salary of CEO of Bajaj Finserv?

Sanjiv Bajaj, the CEO of Bajaj Finserv, earned a total yearly compensation of ₹316.70 million (₹31.7 crore) in 2024, comprising 100% salary and 0% bonuses, including company stock and options.

Is Bajaj Finserv good to buy?

Is Bajaj Finserv Ltd a good buy now? The Price Trend analysis by MoneyWorks4Me indicates it is Semi Strong which suggest that the price of Bajaj Finserv Ltd is likely to Rise-somewhat in the short term. However, please check the rating on Quality and Valuation before investing.

Who is the owner of Bajaj Finserv?

Bajaj Group.

Collapsible Section

Our price forecasting model for analyzing Share targets employs a detailed, data-driven approach to determine monthly price projections. This methodology integrates classic analytical tools, including long-term pivot point analysis, historical performance metrics, and volatility assessment. Below, we outline the key components and processes that constitute our forecasting framework. It is essential to recognize that these price estimates are purely mathematical and should not be considered financial advice. Stock markets are highly dynamic, influenced by multiple unpredictable factors that no single model can comprehensively capture.

Long-Term Pivot Point Analysis

At the core of our methodology lies long-term pivot point analysis, complemented by Fibonacci series calculations. These pivot points help determine critical support and resistance levels, providing a structured framework for anticipating potential price movements.

            Pivot = Previous Close
            Resistance_n = Pivot + (Range × F_n)
            Support_n = Pivot - (Range × F_n)
        

Where:

  • F_n represents Fibonacci multipliers (e.g., 0.382, 0.618, 1.000).
  • Range is the difference between the highest and lowest prices over a specific period.

Historical Performance Analysis

A stock's historical performance plays a vital role in predicting its future behavior. Our model conducts an extensive analysis of past data to determine average returns over various timeframes, capturing both short-term fluctuations and long-term trends.

            Average Return = (1/N) Σ R_i
        

Where:

  • N is the number of periods (e.g., months or quarters).
  • R_i represents the return in the i-th period.

Volatility Assessment

Market volatility is a crucial factor in assessing risk and uncertainty associated with stock price movements. Our methodology incorporates a comprehensive evaluation of stock volatility, measured by the standard deviation of historical returns.

            σ = √[(1/(N-1)) Σ (R_i - μ)^2]
        

Where:

  • μ is the mean return.
  • R_i is the return in the i-th period.
  • N is the total number of returns.

Integrated Predictive Modeling

Our forecasting model integrates pivot point analysis, historical performance, and volatility assessments through advanced predictive techniques, ensuring data-driven and adaptable price projections.

  • Calibration Based on Historical Performance: Utilizing past average returns and volatility metrics to align future price targets with the stock’s established patterns.
  • Mathematical Optimization: Applying techniques such as the Least Squares Method (LSM) to optimize projections, reducing errors and enhancing forecast precision.
  • Dynamic Adjustment: Incorporating real-time market data to refine predictions, ensuring forecasts remain relevant and up-to-date.

Target Price Calibration

The final step in our methodology is the precise calibration of monthly price targets, ensuring they align with analytical insights and market conditions.

            Target Price_next month = Current Price × (1 + Adjusted Growth Rate)
        

Where:

  • Adjusted Growth Rate is derived from historical average returns and volatility, refined through our integrated predictive modeling approach.

This ensures that price targets account for both growth potential and associated risks, providing balanced and actionable forecasts.

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