This module uses fundamental data of Fangdd Network to approximate the value of its Beneish M Score. Fangdd Network M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Check out Fangdd Network Piotroski F Score and Fangdd Network Altman Z Score analysis.
Fangdd
Beneish M Score
Market Cap
Enterprise Value
Price To Sales Ratio
Ptb Ratio
Days Sales Outstanding
Book Value Per Share
Free Cash Flow Yield
Operating Cash Flow Per Share
Stock Based Compensation To Revenue
Capex To Depreciation
Pb Ratio
Ev To Sales
Free Cash Flow Per Share
Roic
Inventory Turnover
Net Income Per Share
Days Of Inventory On Hand
Payables Turnover
Sales General And Administrative To Revenue
Average Inventory
Research And Ddevelopement To Revenue
Capex To Revenue
Cash Per Share
Pocfratio
Interest Coverage
Capex To Operating Cash Flow
Pfcf Ratio
Days Payables Outstanding
Income Quality
Roe
Ev To Operating Cash Flow
Pe Ratio
Return On Tangible Assets
Ev To Free Cash Flow
Earnings Yield
Net Debt To E B I T D A
Current Ratio
Tangible Book Value Per Share
Receivables Turnover
Graham Number
Shareholders Equity Per Share
Debt To Equity
Capex Per Share
Graham Net Net
Revenue Per Share
Interest Debt Per Share
Debt To Assets
Enterprise Value Over E B I T D A
Short Term Coverage Ratios
Price Earnings Ratio
Operating Cycle
Price Book Value Ratio
Price Earnings To Growth Ratio
Days Of Payables Outstanding
Price To Operating Cash Flows Ratio
Price To Free Cash Flows Ratio
Pretax Profit Margin
Ebt Per Ebit
Operating Profit Margin
Effective Tax Rate
Company Equity Multiplier
Total Debt To Capitalization
Return On Capital Employed
Debt Equity Ratio
Ebit Per Revenue
Quick Ratio
Dividend Paid And Capex Coverage Ratio
Net Income Per E B T
Cash Ratio
Cash Conversion Cycle
Operating Cash Flow Sales Ratio
Days Of Inventory Outstanding
Days Of Sales Outstanding
Free Cash Flow Operating Cash Flow Ratio
Cash Flow Coverage Ratios
Price To Book Ratio
Fixed Asset Turnover
Capital Expenditure Coverage Ratio
Price Cash Flow Ratio
Enterprise Value Multiple
Debt Ratio
Cash Flow To Debt Ratio
Price Sales Ratio
Return On Assets
Asset Turnover
Net Profit Margin
Gross Profit Margin
Price Fair Value
Return On Equity
Change To Inventory
Investments
Change In Cash
Net Borrowings
Free Cash Flow
Change In Working Capital
Begin Period Cash Flow
Total Cashflows From Investing Activities
Other Cashflows From Financing Activities
Depreciation
Other Non Cash Items
Capital Expenditures
Total Cash From Operating Activities
Change To Account Receivables
Change To Operating Activities
Net Income
Total Cash From Financing Activities
End Period Cash Flow
Other Cashflows From Investing Activities
Change To Netincome
Change To Liabilities
Stock Based Compensation
Issuance Of Capital Stock
Total Assets
Short Long Term Debt Total
Other Current Liab
Total Current Liabilities
Total Stockholder Equity
Other Liab
Net Tangible Assets
Property Plant And Equipment Net
Current Deferred Revenue
Net Debt
Retained Earnings
Accounts Payable
Cash
Non Current Assets Total
Non Currrent Assets Other
Other Assets
Cash And Short Term Investments
Net Receivables
Common Stock Shares Outstanding
Short Term Investments
Liabilities And Stockholders Equity
Non Current Liabilities Total
Capital Lease Obligations
Inventory
Other Current Assets
Other Stockholder Equity
Total Liab
Long Term Investments
Property Plant And Equipment Gross
Short Long Term Debt
Total Current Assets
Accumulated Other Comprehensive Income
Short Term Debt
Common Stock
Property Plant Equipment
Net Invested Capital
Net Working Capital
Capital Stock
Tax Provision
Net Interest Income
Interest Income
Depreciation And Amortization
Interest Expense
Selling General Administrative
Selling And Marketing Expenses
Total Revenue
Gross Profit
Other Operating Expenses
Operating Income
Net Income From Continuing Ops
Ebit
Research Development
Ebitda
Cost Of Revenue
Total Operating Expenses
Income Before Tax
Total Other Income Expense Net
Net Income Applicable To Common Shares
Income Tax Expense
Minority Interest
Reconciled Depreciation
Probability Of Bankruptcy
As of the 1st of February 2025, Short and Long Term Debt Total is likely to drop to about 119.7 K. In addition to that, Net Debt is likely to drop to about (146.8 M). At this time, Fangdd Network's Income Quality is very stable compared to the past year. As of the 1st of February 2025, Current Ratio is likely to grow to 1.36, while Price To Sales Ratio is likely to drop 0.000012.
At this time, it appears that Fangdd Network Group is an unlikely manipulator. The earnings manipulation may begin if Fangdd Network's top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by Fangdd Network executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of Fangdd Network's earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
The cure to earnings manipulation is the transparency of financial reporting. It will typically remove the temptation of the top executives to inflate earnings (i.e., to promote the idea of 'winning at any cost'). Because a healthy internal audit department can enhance transparency, the board should promote the auditors' access to all the record-keeping systems across the enterprise. For example, if Fangdd Network's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back.
Fangdd Network Group Beneish M-Score Driver Matrix
One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to detect the potential manipulation of earnings. Understanding the correlation between Fangdd Network's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Fangdd Network in a much-optimized way. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find Fangdd Network's degree of accounting gimmicks and manipulations.
M-Score is one of many grading techniques for value stocks. It was developed by Professor M. Daniel Beneish of the Kelley School of Business at Indiana University and published in 1999 under the paper titled The Detection of Earnings Manipulation. The Beneish score is a multi-factor model that utilizes financial identifiers to compile eight variables used to classify whether a company has manipulated its reported earnings. The variables are built from the officially filed financial statements to create a final score call 'M Score.' The score helps to identify companies that are likely to manipulate their profits if they show deteriorating gross margins, operating expenses, and leverage against growing revenue.
Other Operating Expenses
470.36 Million
At this time, Fangdd Network's Other Operating Expenses is very stable compared to the past year.
Fangdd Network Earnings Manipulation Drivers
Although earnings manipulation is typically not the result of intentional misconduct by the c-level executives, it is still a widespread practice by the senior management of public companies such as Fangdd Network. It is usually done by a series of misrepresentations of various accounting rules and operating activities across multiple financial cycles. The best way to spot the manipulation is to examine the historical financial statement to find inconsistencies in earning reports to find trends in assets or liabilities that are not sustainable in the future.
The Macroaxis Fundamental Analysis modules help investors analyze Fangdd Network Group's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Fangdd Network using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Fangdd Network Group 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.
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 Fangdd Network 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 Fangdd Network will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Fangdd Network could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fangdd Network 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 Fangdd Network - 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 Fangdd Network Group to buy it.
The correlation of Fangdd Network 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 Fangdd Network moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fangdd Network Group 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 Fangdd Network 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.
When determining whether Fangdd Network Group offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Fangdd Network's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Fangdd Network Group Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Fangdd Network Group Stock:
You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Is Interactive Media & Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Fangdd Network. If investors know Fangdd will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Fangdd Network listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.23
Earnings Share
(3.00)
Revenue Per Share
45.159
Quarterly Revenue Growth
(0.09)
Return On Assets
(0.20)
The market value of Fangdd Network Group is measured differently than its book value, which is the value of Fangdd that is recorded on the company's balance sheet. Investors also form their own opinion of Fangdd Network's value that differs from its market value or its book value, called intrinsic value, which is Fangdd Network's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fangdd Network's market value can be influenced by many factors that don't directly affect Fangdd Network's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fangdd Network's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fangdd Network is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fangdd Network's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.