Fang Net Income from 2010 to 2026

SFUNY Stock  USD 0.35  0.01  1.39%   
Fang Holdings Net Loss yearly trend continues to be fairly stable with very little volatility. Net Loss is likely to outpace its year average in 2026. During the period from 2010 to 2026, Fang Holdings Net Loss regression line of annual values had significance of  0.01 and arithmetic mean of  579,275. View All Fundamentals
 
Net Loss  
First Reported
2010-06-30
Previous Quarter
10.9 M
Current Value
-75 K
Quarterly Volatility
42.8 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Fang Holdings financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Fang Holdings' main balance sheet or income statement drivers, such as Depreciation And Amortization of 15 M, Total Revenue of 29.2 M or Gross Profit of 7.6 M, as well as many indicators such as Price To Sales Ratio of 0.23, Dividend Yield of 0.48 or PTB Ratio of 0.0199. Fang financial statements analysis is a perfect complement when working with Fang Holdings Valuation or Volatility modules.
  
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The evolution of Net Income for Fang Holdings 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 Fang Holdings compares to historical norms and industry peers.

Latest Fang Holdings' Net Income Growth Pattern

Below is the plot of the Net Income of Fang Holdings over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Fang Holdings financial statement analysis. It represents the amount of money remaining after all of Fang Holdings operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Fang Holdings' Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Fang Holdings' overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported (28.77 M)10 Years Trend
Slightly volatile
   Net Income   
       Timeline  

Fang Net Income Regression Statistics

Arithmetic Mean579,275
Coefficient Of Variation23,714
Mean Deviation98,318,041
Median(15,096,000)
Standard Deviation137,370,839
Sample Variance18870.7T
Range478.3M
R-Value(0.60)
Mean Square Error12905.7T
R-Squared0.36
Significance0.01
Slope(16,295,866)
Total Sum of Squares301932T

Fang Net Income History

2026-27.3 M
2025-28.8 M
2023-179.7 M
2022-75.6 M
2021-19.6 M
2020-8.8 M
2019-10.2 M

Other Fundumenentals of Fang Holdings

Fang Holdings Net Income component correlations

About Fang Holdings Financial Statements

Fang Holdings investors use historical fundamental indicators, such as Fang Holdings' Net Income, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Fang Holdings. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Net Loss-28.8 M-27.3 M
Net Loss-7.4 M-7.8 M
Net Loss-25.9 M-27.2 M
Net Loss(36.62)(34.79)
Net Income Per E B T 0.76  0.61 

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Additional Tools for Fang Stock Analysis

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