Pampa Energia Sa Stock Z Score
| PAMP Stock | ARS 1,962 48.85 2.55% |
Pampa |
Pampa Energia SA Company Z Score Analysis
Pampa Energia's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
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To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
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Based on the company's disclosures, Pampa Energia SA has a Z Score of 0.0. This is 100.0% lower than that of the Utilities sector and about the same as Utilities—Regulated Electric (which currently averages 0.0) industry. The z score for all Argentina stocks is 100.0% higher than that of the company.
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Pampa Fundamentals
| Return On Equity | 0.25 | |||
| Return On Asset | 0.0948 | |||
| Profit Margin | 0.21 % | |||
| Operating Margin | 0.28 % | |||
| Current Valuation | 609.65 B | |||
| Shares Outstanding | 1.38 B | |||
| Shares Owned By Insiders | 33.22 % | |||
| Shares Owned By Institutions | 25.00 % | |||
| Price To Earning | 15.97 X | |||
| Price To Book | 1.46 X | |||
| Price To Sales | 1.63 X | |||
| Revenue | 1.51 B | |||
| Gross Profit | 551 M | |||
| EBITDA | 575 M | |||
| Net Income | 273 M | |||
| Cash And Equivalents | 44.27 B | |||
| Cash Per Share | 31.82 X | |||
| Total Debt | 1.36 B | |||
| Debt To Equity | 0.97 % | |||
| Current Ratio | 3.05 X | |||
| Book Value Per Share | 233.21 X | |||
| Cash Flow From Operations | 729 M | |||
| Earnings Per Share | 35.14 X | |||
| Price To Earnings To Growth | (0.89) X | |||
| Target Price | 646.33 | |||
| Number Of Employees | 31 | |||
| Beta | 1.15 | |||
| Market Capitalization | 677.58 B | |||
| Total Asset | 3.86 B | |||
| Retained Earnings | 4.7 B | |||
| Working Capital | 3.85 B | |||
| Current Asset | 13.44 B | |||
| Current Liabilities | 9.59 B | |||
| Net Asset | 3.86 B |
About Pampa Energia Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Pampa Energia SA's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Pampa Energia using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Pampa Energia SA based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Pampa Energia in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Pampa Energia's short interest history, or implied volatility extrapolated from Pampa Energia options trading.
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Pampa Energia SA using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
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Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Pampa Energia SA. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Complementary Tools for Pampa Stock analysis
When running Pampa Energia's price analysis, check to measure Pampa Energia'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 Pampa Energia is operating at the current time. Most of Pampa Energia's value examination focuses on studying past and present price action to predict the probability of Pampa Energia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pampa Energia's price. Additionally, you may evaluate how the addition of Pampa Energia to your portfolios can decrease your overall portfolio volatility.
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