IEX Share Price Target 2025, 2030, 2040, 2050 Forecast and Analysis: Indian Energy Exchange Ltd (IEX) is one of the leading names in India’s automated energy trading platforms. As the demand for energy in India continues to rise, understanding IEX’s share price potential is crucial for investors seeking long-term opportunities. This article delves into the company’s financial status and presents the projected share price targets for IEX for the years 2024, 2025, 2030, 2040, and 2050, based on various analyses and market conditions.
What is Indian Energy Exchange Ltd (NSE: IEX)?
IEX, established in 2008, was the first power exchange in India and operates under the oversight of the Central Electricity Regulatory Commission (CERC). It provides a platform for trading electricity, which contributes to resource allocation efficiency and fosters transparency in the electricity market.
Metric | Value |
Website | www.iexindia.com |
Revenue | ₹488.09 Crore |
Net Income | ₹305.91 Crore |
Total Assets | ₹668.11 Crore |
EPS (Earnings Per Share) | ₹3.45 |
EBITDA | ₹420.52 Crore |
ROCE | 53.84% |
ROA | 18.23% |
ROE | 43.96% |
Industry | Power Sector |
Headquarters | Noida, India |
IEX Share Details
Metric | Value |
Open | ₹167.85 |
High | ₹172.97 |
Low | ₹167.55 |
Market Cap | ₹15.35K Cr |
P/E Ratio | 37.62 |
Dividend Yield | 1.74% |
52-Week High | ₹244.40 |
52-Week Low | ₹133.15 |
IEX Share Price Target 2025, 2030, 2040 To 2050
IEX Share Price Target 2025 ₹217, 2030 ₹700, 2040 ₹2600 To 2050 ₹13000. The Indian Energy Exchange is an Indian electronic system based power trading exchange regulated by the Central Electricity Regulatory Commission. IEX started its operations on 27 June 2008.
- Founded: 27 June 2008
- Headquarters: India, New Delhi
- Number of employees: 170 (2025)
- Revenue: 474 crores INR (US$59 million, FY23)
IEX Share Price Target 2025 To 2050
Year | Minimum Price (₹) | Maximum Price (₹) |
2025 | ₹131 | ₹217 |
2030 | ₹618 | ₹700 |
2040 | ₹2440 | ₹2600 |
2050 | ₹11500 | ₹13000 |
Category: SHARE PRICE
IEX Share Price Target 2025
In 2025, IEX’s share price target is forecasted to be ₹217, reflecting steady growth due to the increasing energy demand and the company’s strong market position.
Year | Minimum Price (₹) | Maximum Price (₹) |
2025 | ₹131 | ₹217 |
Month Wise IEX Share Price Target 2025
Month | Minimum Price (₹) | Maximum Price (₹) |
January | ₹159 | ₹182 |
February | ₹153 | ₹185 |
March | ₹148 | ₹186 |
April | ₹140 | ₹188 |
May | ₹131 | ₹190 |
June | ₹145 | ₹192 |
July | ₹165 | ₹193 |
August | ₹170 | ₹195 |
September | ₹171 | ₹200 |
October | ₹178 | ₹208 |
November | ₹180 | ₹211 |
December | ₹182 | ₹217 |
By 2025, the share price is expected to fluctuate between ₹131 and ₹217, with the upward trend being bolstered by India’s increasing energy needs and the company’s dominant role in the market.
IEX Share Price Target 2030
In 2030, IEX’s share price target is projected to be between ₹618 and ₹680. This increase reflects expected market growth, driven by both rising energy consumption and the company’s strategic efforts to enhance its market share.
Year | Minimum Price (₹) | Maximum Price (₹) |
2030 | ₹618 | ₹680 |
Month Wise IEX Share Price Target 2030
Month | Minimum Price (₹) | Maximum Price (₹) |
January | ₹618 | ₹630 |
February | ₹625 | ₹640 |
March | ₹632 | ₹645 |
April | ₹639 | ₹655 |
May | ₹646 | ₹660 |
June | ₹653 | ₹670 |
July | ₹660 | ₹680 |
August | ₹667 | ₹690 |
September | ₹674 | ₹700 |
October | ₹680 | ₹695 |
November | ₹675 | ₹685 |
December | ₹680 | ₹700 |
IEX’s long-term outlook appears positive, with strong growth anticipated by 2030, fueled by an expanding energy market and the company’s continued market dominance.
IEX Share Price Target 2040
In 2040, the share price of IEX could rise substantially, with targets between ₹2440 and ₹2600. This increase reflects the anticipated long-term growth in the power sector and the company’s central role in energy trading.
Year | Minimum Price (₹) | Maximum Price (₹) |
2040 | ₹2440 | ₹2600 |
Month Wise IEX Share Price Target 2040
Month | Minimum Price (₹) | Maximum Price (₹) |
January | ₹2440 | ₹2500 |
February | ₹2445 | ₹2520 |
March | ₹2450 | ₹2540 |
April | ₹2455 | ₹2550 |
May | ₹2460 | ₹2560 |
June | ₹2465 | ₹2570 |
July | ₹2470 | ₹2580 |
August | ₹2475 | ₹2590 |
September | ₹2480 | ₹2600 |
October | ₹2485 | ₹2600 |
November | ₹2490 | ₹2590 |
December | ₹2500 | ₹2600 |
By 2040, IEX’s role in enabling efficient energy trading will contribute to this significant rise in stock value, with the company positioned to benefit from global energy consumption growth.
IEX Share Price Target 2050
Looking ahead to 2050, IEX’s share price is expected to reach a range between ₹11,500 and ₹13,000. This forecast reflects the anticipated growth of the energy sector, driven by advancements in technology, government support for renewable energy, and increasing energy consumption globally.
Year | Minimum Price (₹) | Maximum Price (₹) |
2050 | ₹11500 | ₹13000 |
Month Wise IEX Share Price Target 2050
Month | Minimum Price (₹) | Maximum Price (₹) |
January | ₹11500 | ₹11800 |
February | ₹11600 | ₹11900 |
March | ₹11700 | ₹12000 |
April | ₹11800 | ₹12100 |
May | ₹11900 | ₹12200 |
June | ₹12000 | ₹12300 |
July | ₹12100 | ₹12400 |
August | ₹12200 | ₹12500 |
September | ₹12300 | ₹12600 |
October | ₹12350 | ₹12700 |
November | ₹12375 | ₹12800 |
December | ₹12400 | ₹13000 |
The anticipated price range for 2050 reflects the expected significant expansion of the energy sector and the ongoing evolution of IEX’s platform in supporting India’s energy transition.
IEX Stock: Is It a Good Investment?
Bull Case:
- Strong Growth: The demand for electricity is expected to continue rising, benefiting IEX.
- Government Support: Policies promoting renewable energy sources could positively impact the company.
- Market Leadership: IEX’s growing clientele and dominant market share position it for significant growth.
- Technological Advancements: Technological innovations are likely to improve trading efficiency.
Bear Case:
- Regulatory Risks: Any changes in regulations could impact market dynamics.
- Emerging Competition: New power exchanges may reduce IEX’s market share.
- Economic Downturns: A slowdown in economic activity could decrease energy consumption.
- Technological Challenges: Advances in new trading technologies could disrupt traditional methods.
Who is the owner of IEX?
IEX is the largest exchange for the trading of a range of electricity products in India. The company was promoted by Financial Technologies (India) Ltd (“FTIL”)(now known as 63 Moons Technologies Ltd) and PTC India Financial Services Ltd (“PFS”).
Does IEX have a future?
Earnings vs Savings Rate: IEX’s forecast earnings growth (14.9% per year) is above the savings rate (6.7%). Earnings vs Market: IEX’s earnings (14.9% per year) are forecast to grow slower than the Indian market (17.7% per year).
What is the main work of IEX?
IEX is India’s premier power exchange, providing a nationwide automated trading platform for the physical delivery of electricity, renewable energy, and certificates.
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.