Ping An Insurance Stock Net Income
| PZX Stock | EUR 7.57 0.14 1.82% |
As of the 13th of February 2026, Ping An holds the Coefficient Of Variation of 670.57, semi deviation of 1.33, and Risk Adjusted Performance of 0.126. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Ping An, as well as the relationship between them.
Ping An Total Revenue |
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Market Capitalization 125.8 B | Enterprise Value Revenue 1.7053 |
| Last Reported | Projected for Next Year | ||
| Net Income From Continuing Ops | 168.7 B | 138 B | |
| Net Income | 145.6 B | 116 B |
Ping | Net Income |
The evolution of Net Income for Ping An Insurance provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how Ping An compares to historical norms and industry peers.
Latest Ping An's Net Income Growth Pattern
Below is the plot of the Net Income of Ping An Insurance over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Ping An Insurance financial statement analysis. It represents the amount of money remaining after all of Ping An Insurance operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Ping An's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Ping An's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 126.61 B | 10 Years Trend |
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Net Income |
| Timeline |
Ping Net Income Regression Statistics
| Arithmetic Mean | 95,033,904,902 | |
| Geometric Mean | 89,783,215,563 | |
| Coefficient Of Variation | 34.74 | |
| Mean Deviation | 28,681,664,014 | |
| Median | 89,088,000,000 | |
| Standard Deviation | 33,017,533,257 | |
| Sample Variance | 1090157502.4T | |
| Range | 87B | |
| R-Value | 0.78 | |
| Mean Square Error | 460412135.6T | |
| R-Squared | 0.60 | |
| Significance | 0.0002 | |
| Slope | 5,081,767,198 | |
| Total Sum of Squares | 17442520037.7T |
Ping Net Income History
Ping An 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Ping An's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Ping An.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Ping An on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Ping An Insurance or generate 0.0% return on investment in Ping An over 90 days. Ping An is related to or competes with Abbott Laboratories, Advanced Micro, Philip Morris, Amgen, Hong Kong, AP Mller, and FREEPORT MCMORAN. Ping An is entity of Germany. It is traded as Stock on MU exchange. More
Ping An Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Ping An's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Ping An Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.68 | |||
| Information Ratio | 0.1114 | |||
| Maximum Drawdown | 8.72 | |||
| Value At Risk | (2.39) | |||
| Potential Upside | 4.01 |
Ping An Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ping An's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ping An's standard deviation. In reality, there are many statistical measures that can use Ping An historical prices to predict the future Ping An's volatility.| Risk Adjusted Performance | 0.126 | |||
| Jensen Alpha | 0.2776 | |||
| Total Risk Alpha | 0.1286 | |||
| Sortino Ratio | 0.1231 | |||
| Treynor Ratio | (1.39) |
Ping An February 13, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.126 | |||
| Market Risk Adjusted Performance | (1.38) | |||
| Mean Deviation | 1.38 | |||
| Semi Deviation | 1.33 | |||
| Downside Deviation | 1.68 | |||
| Coefficient Of Variation | 670.57 | |||
| Standard Deviation | 1.85 | |||
| Variance | 3.43 | |||
| Information Ratio | 0.1114 | |||
| Jensen Alpha | 0.2776 | |||
| Total Risk Alpha | 0.1286 | |||
| Sortino Ratio | 0.1231 | |||
| Treynor Ratio | (1.39) | |||
| Maximum Drawdown | 8.72 | |||
| Value At Risk | (2.39) | |||
| Potential Upside | 4.01 | |||
| Downside Variance | 2.81 | |||
| Semi Variance | 1.76 | |||
| Expected Short fall | (1.53) | |||
| Skewness | 0.8036 | |||
| Kurtosis | 1.06 |
Ping An Insurance Backtested Returns
Ping An appears to be somewhat reliable, given 3 months investment horizon. Ping An Insurance maintains Sharpe Ratio (i.e., Efficiency) of 0.16, which implies the firm had a 0.16 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Ping An Insurance, which you can use to evaluate the volatility of the company. Please evaluate Ping An's Risk Adjusted Performance of 0.126, coefficient of variation of 670.57, and Semi Deviation of 1.33 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Ping An holds a performance score of 12. The company holds a Beta of -0.19, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Ping An are expected to decrease at a much lower rate. During the bear market, Ping An is likely to outperform the market. Please check Ping An's semi variance, rate of daily change, and the relationship between the value at risk and kurtosis , to make a quick decision on whether Ping An's historical price patterns will revert.
Auto-correlation | 0.32 |
Below average predictability
Ping An Insurance has below average predictability. Overlapping area represents the amount of predictability between Ping An time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Ping An Insurance price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Ping An price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Ping Net Interest Income
Net Interest Income |
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Based on the recorded statements, Ping An Insurance reported net income of 126.61 B. This is much higher than that of the Metals & Mining sector and significantly higher than that of the Materials industry. The net income for all Germany stocks is notably lower than that of the firm.
Ping Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Ping An's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Ping An could also be used in its relative valuation, which is a method of valuing Ping An by comparing valuation metrics of similar companies.Ping An is currently under evaluation in net income category among its peers.
Ping An ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Ping An's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Ping An's managers, analysts, and investors.Environment Score | Governance Score | Social Score |
Ping Fundamentals
| Current Valuation | 200.58 B | ||||
| Price To Book | 1.18 X | ||||
| Price To Sales | 1.21 X | ||||
| Revenue | 916.62 B | ||||
| Net Income | 126.61 B | ||||
| Total Debt | 95.66 B | ||||
| Cash Flow From Operations | 382.47 B | ||||
| Price To Earnings To Growth | 0.33 X | ||||
| Market Capitalization | 125.8 B | ||||
| Total Asset | 12.96 T | ||||
| Retained Earnings | 693.47 B | ||||
| Annual Yield | 0.24 % | ||||
| Net Asset | 12.96 T | ||||
| Last Dividend Paid | 1.42 |
About Ping An Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Ping An Insurance's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Ping An using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Ping An Insurance 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.
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Additional Tools for Ping Stock Analysis
When running Ping An's price analysis, check to measure Ping An'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 Ping An is operating at the current time. Most of Ping An's value examination focuses on studying past and present price action to predict the probability of Ping An's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ping An's price. Additionally, you may evaluate how the addition of Ping An to your portfolios can decrease your overall portfolio volatility.