Lizhi Net Income from 2010 to 2026

SOGP Stock   13.51  0.30  2.17%   
Lizhi Net Loss yearly trend continues to be relatively stable with very little volatility. Net Loss is likely to drop to about -84 M. During the period from 2010 to 2026, Lizhi Net Loss destribution of quarterly values had range of 240.2 M from its regression line and mean deviation of  48,942,600. View All Fundamentals
 
Net Loss  
First Reported
2010-12-31
Previous Quarter
-80 M
Current Value
-84 M
Quarterly Volatility
65.7 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Lizhi financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Lizhi's main balance sheet or income statement drivers, such as Depreciation And Amortization of 23.6 M, Interest Expense of 454.5 K or Selling General Administrative of 128.3 M, as well as many indicators such as Price To Sales Ratio of 0.0437, Dividend Yield of 0.0 or PTB Ratio of 0.33. Lizhi financial statements analysis is a perfect complement when working with Lizhi Valuation or Volatility modules.
  
Build AI portfolio with Lizhi Stock
Check out the analysis of Lizhi Correlation against competitors.
Evaluating Lizhi's Net Income across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Lizhi Inc's fundamental strength.

Latest Lizhi's Net Income Growth Pattern

Below is the plot of the Net Income of Lizhi Inc over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Lizhi Inc financial statement analysis. It represents the amount of money remaining after all of Lizhi Inc operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Lizhi's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Lizhi's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported (80.98 M)10 Years Trend
Slightly volatile
   Net Income   
       Timeline  

Lizhi Net Income Regression Statistics

Arithmetic Mean(109,105,991)
Geometric Mean104,372,227
Coefficient Of Variation(60.22)
Mean Deviation48,942,600
Median(132,957,000)
Standard Deviation65,704,754
Sample Variance4317.1T
Range240.2M
R-Value0.55
Mean Square Error3215.6T
R-Squared0.30
Significance0.02
Slope7,146,902
Total Sum of Squares69073.8T

Lizhi Net Income History

2026-84 M
2025-80 M
2024-69.6 M
2023-126.7 M
202286.5 M
2021-127.2 M
2020-82.2 M

Other Fundumenentals of Lizhi Inc

Lizhi Net Income component correlations

About Lizhi Financial Statements

Lizhi shareholders use historical fundamental indicators, such as Net Income, to determine how well the company is positioned to perform in the future. Although Lizhi investors may analyze each financial statement separately, they are all interrelated. The changes in Lizhi's assets and liabilities, for example, are also reflected in the revenues and expenses on on Lizhi's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Net Loss-93.1 M-97.8 M
Net Loss-93.1 M-97.8 M
Net Loss(12.20)(12.81)
Net Income Per E B T 1.03  1.07 

Pair Trading with Lizhi

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Lizhi position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Lizhi will appreciate offsetting losses from the drop in the long position's value.

Moving together with Lizhi Stock

  0.64SPRX Sparx TechnologyPairCorr
The ability to find closely correlated positions to Lizhi could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Lizhi when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Lizhi - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Lizhi Inc to buy it.
The correlation of Lizhi is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Lizhi moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Lizhi Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Lizhi can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Lizhi Stock Analysis

When running Lizhi's price analysis, check to measure Lizhi'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 Lizhi is operating at the current time. Most of Lizhi's value examination focuses on studying past and present price action to predict the probability of Lizhi's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lizhi's price. Additionally, you may evaluate how the addition of Lizhi to your portfolios can decrease your overall portfolio volatility.