Power Finance (India) Analysis

PFC Stock   374.60  1.70  0.46%   
Power Finance is undervalued with Real Value of 452.83 and Hype Value of 374.6. The main objective of Power Finance stock analysis is to determine its intrinsic value, which is an estimate of what Power Finance is worth, separate from its market price. There are two main types of Power Finance's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Power Finance's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Power Finance's stock to identify patterns and trends that may indicate its future price movements.
The Power Finance stock is traded in India on National Stock Exchange of India, with the market opening at 09:15:00 and closing at 15:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in India. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Power Finance's ongoing operational relationships across important fundamental and technical indicators.
  
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Power Finance. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in state.

Power Stock Analysis Notes

About 56.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.97. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Power Finance recorded earning per share (EPS) of 75.37. The entity last dividend was issued on the 26th of November 2025. The firm had 5:4 split on the 21st of September 2023. To find out more about Power Finance contact Parminder Chopra at 91 11 2345 6000 or learn more at https://www.pfcindia.com.

Power Finance Quarterly Total Revenue

108.42 Billion

Power Finance Investment Alerts

Many investors view ongoing market volatility as an opportunity to purchase more stocks at a favorable price or short it to generate a bearish trend profit opportunity. If you are one of those investors, make sure you clearly understand the position you are entering. Power Finance's investment alerts are automatically generated signals that are significant enough to either complement your investing judgment regarding Power Finance or challenge it. These alerts can help you understand what you are buying and avoid costly mistakes.
Power Finance generated a negative expected return over the last 90 days
Power Finance is unlikely to experience financial distress in the next 2 years
Power Finance has accumulated about 92.66 B in cash with (922.69 B) of positive cash flow from operations.
Roughly 56.0% of the company outstanding shares are owned by corporate insiders
Latest headline from news.google.com: Power Finance Corporation Releases Earnings Call Transcript - TipRanks

Power Market Capitalization

The company currently falls under 'Mega-Cap' category with a current market capitalization of 1.24 T. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Power Finance's market, we take the total number of its shares issued and multiply it by Power Finance's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Power Profitablity

Power Finance's profitability indicators refer to fundamental financial ratios that showcase Power Finance's ability to generate income relative to its revenue or operating costs. If, let's say, Power Finance is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Power Finance's executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Power Finance's profitability requires more research than a typical breakdown of Power Finance's financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Profit Margin (PM) of 0.49 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.95 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.95.

Management Efficiency

Power Finance has return on total asset (ROA) of 0.0283 % which means that it generated a profit of $0.0283 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.2111 %, meaning that it generated $0.2111 on every $100 dollars invested by stockholders. Power Finance's management efficiency ratios could be used to measure how well Power Finance manages its routine affairs as well as how well it operates its assets and liabilities. At present, Power Finance's Non Current Assets Total are projected to increase significantly based on the last few years of reporting. The current year's Non Currrent Assets Other is expected to grow to about 11.9 T, whereas Total Current Assets are forecasted to decline to about 53.9 B.
Leadership effectiveness at Power Finance is a strong indicator of its financial stability. We analyze various metrics to provide insights into the stock's investment viability.
Dividend Yield
0.044
Operating Margin
0.949
Profit Margin
0.4947
Forward Dividend Yield
0.0392
Beta
0.576

Technical Drivers

As of the 15th of November 2025, Power Finance holds the Risk Adjusted Performance of (0.08), information ratio of (0.19), and Standard Deviation of 1.16. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Power Finance, as well as the relationship between them. Please check Power Finance variance, and the relationship between the coefficient of variation and value at risk to decide if Power Finance is priced some-what accurately, providing market reflects its current price of 374.6 per share.

Power Finance Price Movement Analysis

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Power Finance Outstanding Bonds

Power Finance issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Power Finance uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Power bonds can be classified according to their maturity, which is the date when Power Finance has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.

Power Finance Predictive Daily Indicators

Power Finance intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Power Finance stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

Power Finance Forecast Models

Power Finance's time-series forecasting models are one of many Power Finance's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Power Finance's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

About Power Stock Analysis

Stock analysis is the technique used by a trader or investor to examine and evaluate how Power Finance prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Power shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Power Finance. By using and applying Power Stock analysis, traders can create a robust methodology for identifying Power entry and exit points for their positions.
Power Finance is entity of India. It is traded as Stock on NSE exchange.

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When running Power Finance's price analysis, check to measure Power Finance's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Power Finance is operating at the current time. Most of Power Finance's value examination focuses on studying past and present price action to predict the probability of Power Finance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Power Finance's price. Additionally, you may evaluate how the addition of Power Finance to your portfolios can decrease your overall portfolio volatility.
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