Subex Share Price Target 2025, 2030, 2040, 2050: Subex Limited (NSE: SUBEXLTD) is an Indian software company that provides solutions related to digital trust, IoT security, and telecom analytics. The company has positioned itself as a leader in the telecom fraud management space, offering solutions such as revenue assurance, fraud control, partner ecosystem management, and IoT security. As Subex continues to evolve and innovate in the digital transformation sector, its growth potential appears promising.
What is Subex Ltd?
Subex Ltd is a global provider of Business and Operations Support Systems (B/OSS) for Communications Service Providers (CSPs). Established in 1992, Subex specializes in telecom fraud management, IoT security, and digital trust analytics. The company serves industries such as telecom, healthcare, finance, and retail, helping these sectors improve operational efficiency and security.
Subex Share Details
| Metric | Value |
| Open | ₹13.01 |
| High | ₹13.54 |
| Low | ₹12.94 |
| Market Cap | ₹743.22 Cr |
| P/E Ratio | – |
| Dividend Yield | – |
| 52-week High | ₹36.88 |
| 52-week Low | ₹11.48 |
Subex Share Price Target 2025, 2026, 2027, 2028, 2029, 2030 To 2050
Subex Share Price Target 2025 ₹27.13, 2026 ₹50, 2030 ₹200 To 2050 ₹800. Subex Limited is an Indian enterprise software company based in Bangalore, which provides digital trust products to communication service providers. The company is listed on BSE and NSE in India.
- CEO: Nisha Dutt (2025–)
- Founded: 1992
- Founders: Subash Menon, Alex PJ
- Headquarters: India, Bengaluru
- Number of employees: 828 (2025)
- Subsidiaries: Subex Digital LLP, Subex Technologies Limited
Subex Share Price Target 2025 To 2050
| Year | Minimum Price (₹) | Maximum Price (₹) |
| 2025 | ₹8.61 | ₹27.13 |
| 2026 | ₹22 | ₹50 |
| 2030 | ₹150 | ₹200 |
| 2050 | ₹500 | ₹800 |
Category: SHARE PRICE
Subex Ltd Financial Overview
| Metric | Value |
| Market Cap | ₹1,424.16 Cr |
| P/E Ratio | – |
| Book Value | ₹5.92 |
| Dividend Yield | – |
| ROCE | -5.48% |
| ROE | -12.2% |
| Debt to Equity | 0.00 |
Key Financial Metrics
| Metric | Value |
| Current Share Price | ₹26.85 |
| Market Capitalization | ₹1,490.43 crore |
| P/E Ratio | -8.12 |
| EPS (TTM) | -3.27 |
| Book Value per Share | ₹5.93 |
| Dividend Yield | 0.00% |
| Net Profit Margin | -15.83% |
| Return on Equity (ROE) | -57.48% |
Peers Comparison
| Company | Market Capitalization | P/E Ratio | EPS (₹) | Dividend Yield (%) |
| Subex Ltd | ₹1,490.43 crore | -8.12 | -3.27 | 0.00 |
| Tata Consultancy Services (TCS) | ₹13,50,000 crore | 30.00 | 95.00 | 1.20 |
| Infosys Ltd | ₹6,50,000 crore | 25.00 | 70.00 | 2.50 |
| Wipro Ltd | ₹3,00,000 crore | 22.00 | 45.00 | 1.50 |
Subex Share Price Target for 2025
Subex is likely to see significant growth in 2025 as it expands its product offerings and global reach. The company’s focus on IoT security and 5G analytics could provide a boost to its sales and revenue streams. With new investments and product development, Subex’s share price is expected to range between ₹8.61 and ₹27.13 in 2025. By our analysis, Subex’s share price in 2025 could be between ₹8.61 and ₹27.13, with a potential maximum value of ₹27.13.
| Month | Minimum Price (₹) | Maximum Price (₹) |
| January | 17.25 | 23.75 |
| February | 13.50 | 19.18 |
| March | 10.50 | 17.79 |
| April | 9.45 | 18.57 |
| May | 9.12 | 18.88 |
| June | 8.61 | 19.24 |
| July | 10.57 | 21.57 |
| August | 14.84 | 22.57 |
| September | 15.48 | 23.74 |
| October | 16.58 | 25.58 |
| November | 18.57 | 26.78 |
| December | 21.58 | 27.13 |
Subex Share Price Target for 2026
By 2026, Subex is expect to solidify its position in the digital trust and analytics market. The company’s cloud-native technologies and partnerships with major telecom providers could help drive growth and revenue. The share price target for Subex in 2026 is estimated to range from ₹20 to ₹50. The projected share price in 2026 will be between ₹20 and ₹50, with the upper end showing substantial growth.
| Month | Minimum Price (₹) | Maximum Price (₹) |
| January | 27.13 | 32 |
| February | 22 | 34 |
| March | 24 | 36 |
| April | 26 | 38 |
| May | 25 | 40 |
| June | 20 | 42 |
| July | 22 | 44 |
| August | 24 | 46 |
| September | 26 | 48 |
| October | 28 | 50 |
| November | 30 | 48 |
| December | 32 | 50 |
Subex Share Price Target for 2030
By 2030, Subex is project to undergo significant transformation as digital technologies, especially in the realm of IoT security and digital trust, continue to evolve. This will likely propel the company’s growth across multiple sectors, driving the stock price higher. The estimated share price target for Subex in 2030 is between ₹150 and ₹200. Subex’s share price is expect to reach between ₹150 and ₹200 by 2030, reflecting its substantial growth.
| Month | Minimum Price (₹) | Maximum Price (₹) |
| January | 150 | 155 |
| February | 155 | 160 |
| March | 160 | 165 |
| April | 165 | 170 |
| May | 170 | 175 |
| June | 175 | 180 |
| July | 180 | 185 |
| August | 185 | 190 |
| September | 190 | 195 |
| October | 195 | 190 |
| November | 200 | 200 |
| December | 205 | 200 |
Subex Share Price Target for 2050
In the long term, by 2050, Subex’s share price could be significantly influenced by its ability to adapt to ongoing advancements in digital trust and analytics. If Subex successfully navigates the rapidly evolving technology landscape, it could see significant price appreciation. The projected range for 2050 is between ₹500 and ₹800. If Subex can continue to evolve and expand, its share price may range from ₹500 to ₹800 in 2050, marking significant growth potential.
| Month | Minimum Price (₹) | Maximum Price (₹) |
| January | 500 | 520 |
| February | 520 | 540 |
| March | 540 | 560 |
| April | 560 | 580 |
| May | 580 | 600 |
| June | 600 | 620 |
| July | 620 | 640 |
| August | 640 | 660 |
| September | 660 | 680 |
| October | 680 | 700 |
| November | 700 | 750 |
| December | 750 | 800 |
Should You Buy Subex Stock?
When considering an investment in Subex, several factors must be weighed. The company is well-position in the digital trust and analytics sector, and its growing presence in the IoT security and 5G analytics space could offer significant upside potential. Subex’s global reach and ongoing innovation could further contribute to its long-term growth.
Bull Case for Subex:
- Strong market share in digital trust and analytics.
- Increasing demand for IoT security and 5G analytics solutions.
- Established relationships with major telecom operators and a global footprint.
- Investment in AI and ML to drive product innovation.
- Expansion into new business verticals could generate new revenue streams.
Bear Case for Subex:
- Recent financial struggles, including negative profitability.
- Intense competition within the technology sector.
- Dependence on the telecom industry’s trends.
- Vulnerability to global economic downturns.
- Challenges in keeping up with the rapidly evolving digital landscape.
Is Subex a good buy?
The Price Trend analysis by MoneyWorks4Me indicates it is Weak which suggest that the price of Subex Ltd is likely to Fall in the short term.
Who is the CEO of Subex?
Nisha Dutt (2023–)
Subex Limited / CEO
Nisha Dutt was appointed as the CEO of Subex.
What is the full name of Subex?
The Company was incorporated as Subex Systems Private Limited in 1994 and subsequently changed its name to Subex Systems Limited in 1995. It further changed its name to Subex Azure Limited, on the acquisition of Azure Solutions Limited, UK, in 2006 before being known by its current name since the year 2007.
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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