Central Bank of India Share Price Target and Growth Prospects for 2025, 2030, 2040, and 2050: The Central Bank of India is one of the prominent banks in India, offering a wide range of banking services, including online banking, mobile banking, loans, and credit facilities. With a long history in India’s banking sector, the Central Bank is actively expanding its services and implementing strategic partnerships aimed at strengthening its position in the financial market. This article provides detailed share price targets for the years 2025, 2030, 2040, and 2050, offering insights into the bank’s performance and future outlook.
Central Bank of India
The Central Bank of India is known for its variety of banking services, which include personal loans, gold loans, car loans, credit cards, and loans for businesses. The bank also offers services tailored for farmers, such as various agricultural loan schemes to help boost the agricultural sector. Furthermore, the bank offers services to international customers, pensioners, and SMEs. Established by Sir Sorabji Pochkhanawala, the Central Bank holds a significant place in India’s banking history, being the first Indian commercial bank fully owned and run by Indians.
Central Bank of India Ltd Earning Results
| Mcap Full (Cr.) | 52,780.11 |
| Turnover (Cr.) | 2.37 |
| TTQ (Lakh) | 3.91 |
| EPS (TTM) | 3.47 |
| CEPS (TTM) | 3.47 |
| PE/PB | 17.62 / 1.65 |
| ROE | 9.36 |
| Face Value | 10.00 |
| Revenue(Cr) | 8,334.79 |
| Net Profit(Cr) | 879.94 |
Central Bank of India Share Details
| Parameter | Value |
| Open | ₹44.00 |
| High | ₹45.25 |
| Low | ₹43.75 |
| Market Cap | ₹39.15K Cr |
| P/E Ratio | 10.73 |
| Dividend Yield | – |
| 52-Week High | ₹73.00 |
| 52-Week Low | ₹40.89 |
Central Bank of India Share Price Target 2025, 2030, 2040 To 2050
Central Bank of India Share Price Target 2025 ₹60.02, 2030 ₹265, 2040 ₹530 To 2050 ₹900. The Central Bank of India is an Indian public sector bank based in Mumbai. Despite its name, CBI is not the central bank of India, a role served by the Reserve Bank of India.
- CEO: Matam Venkata Rao (1 Mar 2021–)
- Founded: 21 December 1911
- Founders: Sorabji Pochkhanawala, Pherozeshah Mehta
- Headquarters: Mumbai
- Number of employees: 31,610 (2025)
- Parent organization: Government of India
- Revenue: 25,897.44 crores INR (US$3.2 billion, 2025)
Central Bank of India Share Price Target 2025 To 2050
| Year | Minimum Price (Rs) | Maximum Price (Rs) |
| 2025 | ₹37.10 | ₹60.02 |
| 2030 | ₹210 | ₹265 |
| 2040 | ₹410 | ₹530 |
| 2050 | ₹740 | ₹900 |
Central Bank of India Share Price Target for 2025
In 2025, the Central Bank of India is expected to see a significant improvement in its financial position. The government’s full control over the bank and partnerships with organizations such as Kotak Mahindra Asset Management Company and WMG Department of Education, University of Warwick, are expected to positively impact its share price. The share price target for Central Bank of India in 2025 is forecasted to be between ₹37.10 and ₹60.02. This range reflects both the challenges the bank has faced and the opportunities available due to its growth strategies and partnerships.
| Month | Minimum Price (₹) | Maximum Price (₹) |
| January | 46.50 | 56.47 |
| February | 43.25 | 52.81 |
| March | 40.11 | 49.41 |
| April | 38.25 | 49.50 |
| May | 37.10 | 49.78 |
| June | 39.58 | 51.54 |
| July | 42.45 | 52.68 |
| August | 45.68 | 53.74 |
| September | 48.87 | 55.15 |
| October | 49.45 | 58.68 |
| November | 55.87 | 59.10 |
| December | 57.25 | 60.02 |
By the end of 2025, we anticipate the stock price to rise due to the growing recognition of the bank’s strategic efforts to expand and modernize its operations.
Central Bank of India Share Price Target for 2030
The Central Bank of India has been focusing on diversifying its services and improving its digital offerings. The bank’s partnership with the National Payments Authority of India to offer the “CBOI Rupay” business card and other initiatives will likely benefit its long-term growth. As the economy continues to expand, this should contribute positively to the bank’s financial position and consequently, its stock price. For 2030, the bank’s share price is projected to range between ₹210 and ₹265. This growth is attributed to increased market demand for banking services, particularly from small businesses and retail customers.
| Month | Minimum Price (₹) | Maximum Price (₹) |
| January | 210 | 221 |
| February | 216 | 225 |
| March | 219 | 229 |
| April | 223 | 235 |
| May | 226 | 245 |
| June | 232 | 240 |
| July | 220 | 229 |
| August | 224 | 231 |
| September | 225 | 235 |
| October | 227 | 242 |
| November | 235 | 254 |
| December | 247 | 265 |
The expected growth is a result of the bank’s expanding services and digital capabilities, which will attract a broader customer base in the long run.
Central Bank of India Share Price Target for 2040
In the long term, by 2040, the Central Bank of India is expected to undergo significant improvements in its financial standing. The bank’s collaborations with Ugro Capital for providing loans to small and medium businesses and other strategic partnerships will drive its revenue and stock price growth. As a result, its share price target in 2040 is expected to range from ₹410 to ₹530.This growth is supported by the bank’s investment in technology, upgrades to online services, and a focus on attracting younger, tech-savvy customers.
| Month | Minimum Price (₹) | Maximum Price (₹) |
| January | 410 | 419 |
| February | 416 | 425 |
| March | 418 | 431 |
| April | 425 | 436 |
| May | 431 | 445 |
| June | 436 | 452 |
| July | 447 | 461 |
| August | 456 | 469 |
| September | 460 | 482 |
| October | 477 | 490 |
| November | 481 | 500 |
| December | 498 | 530 |
As the Central Bank continues to grow, its stock price is expected to steadily climb, fueled by its ability to manage loans, improve services, and cater to a growing customer base.
Central Bank of India Share Price Target for 2050
Looking further into the future, by 2050, the Central Bank of India is anticipated to be a significant player in the banking sector. With improvements in its service offerings, technological advancements, and a growing Indian economy, the bank is expected to experience substantial growth. The share price target for the year 2050 is predicted to range from ₹740 to ₹900. These projections are based on the continued positive performance of the bank, its efficient operations, and its strategic partnerships with other financial institutions and government bodies.
| Month | Minimum Price (₹) | Maximum Price (₹) |
| January | 740 | 760 |
| February | 746 | 765 |
| March | 751 | 771 |
| April | 765 | 782 |
| May | 773 | 799 |
| June | 784 | 812 |
| July | 800 | 821 |
| August | 807 | 826 |
| September | 812 | 830 |
| October | 826 | 847 |
| November | 832 | 860 |
| December | 848 | 900 |
By 2050, the Central Bank of India is poised to offer competitive banking solutions, with a focus on digital innovation and expanding services to a wider audience.
Who is the CEO of the central bank?
Matam Venkata Rao (1 Mar 2021–) Central Bank of India / CE Shri M. V. Rao | Central Bank of India.
Who owns CBI bank?
Ownership. CBI Bank & Trust is a wholly owned subsidiary of Muscatine-based Central Bancshares, Inc. Stock in the organization is closely held and not actively traded. A majority of the outstanding shares are owned by individuals who either live in or are connected to the Muscatine, Iowa area.
What is the real name of Central Bank of India?
The Reserve Bank of India is India’s central bank (RBI). Its mission is to promote financial stability while also regulating India’s currency and credit markets.
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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