This module uses fundamental data of Macfarlane Group to approximate the value of its Beneish M Score. Macfarlane Group 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 Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Macfarlane Group PLC. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Macfarlane
Beneish M Score
Change To Inventory
Change In Cash
Free Cash Flow
Change In Working Capital
Begin Period Cash Flow
Other Cashflows From Financing Activities
Depreciation
Other Non Cash Items
Capital Expenditures
Total Cash From Operating Activities
Net Income
Total Cash From Financing Activities
End Period Cash Flow
Sale Purchase Of Stock
Change To Account Receivables
Dividends Paid
Total Cashflows From Investing Activities
Other Cashflows From Investing Activities
Net Borrowings
Change To Operating Activities
Change To Netincome
Change To Liabilities
Stock Based Compensation
Investments
Total Assets
Short Long Term Debt Total
Other Current Liab
Total Current Liabilities
Total Stockholder Equity
Property Plant And Equipment Net
Net Debt
Retained Earnings
Accounts Payable
Cash
Non Current Assets Total
Non Currrent Assets Other
Cash And Short Term Investments
Common Stock Total Equity
Common Stock Shares Outstanding
Liabilities And Stockholders Equity
Non Current Liabilities Total
Inventory
Other Current Assets
Other Stockholder Equity
Total Liab
Property Plant And Equipment Gross
Total Current Assets
Short Term Debt
Common Stock
Accumulated Other Comprehensive Income
Intangible Assets
Long Term Debt
Net Receivables
Good Will
Property Plant Equipment
Current Deferred Revenue
Other Assets
Other Liab
Treasury Stock
Net Tangible Assets
Short Long Term Debt
Capital Surpluse
Capital Lease Obligations
Net Invested Capital
Net Working Capital
Capital Stock
Depreciation And Amortization
Interest Expense
Total Revenue
Gross Profit
Other Operating Expenses
Operating Income
Ebit
Ebitda
Total Operating Expenses
Income Before Tax
Total Other Income Expense Net
Income Tax Expense
Cost Of Revenue
Selling General Administrative
Net Income Applicable To Common Shares
Selling And Marketing Expenses
Net Income From Continuing Ops
Tax Provision
Net Interest Income
Interest Income
Reconciled Depreciation
Probability Of Bankruptcy
At this time, Macfarlane Group's Short and Long Term Debt Total is comparatively stable compared to the past year. Net Debt is likely to gain to about 43 M in 2025, whereas Short Term Debt is likely to drop slightly above 10.2 M in 2025.
At this time, Macfarlane Group's M Score is inapplicable. The earnings manipulation may begin if Macfarlane Group'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 Macfarlane Group 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 Macfarlane Group'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 Macfarlane Group'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.
Macfarlane Group PLC 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 Macfarlane Group's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Macfarlane Group in a much-optimized way. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find Macfarlane Group'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.
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 Macfarlane Group. 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 Macfarlane Group PLC's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Macfarlane Group using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Macfarlane Group PLC 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.
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When running Macfarlane Group's price analysis, check to measure Macfarlane Group'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 Macfarlane Group is operating at the current time. Most of Macfarlane Group's value examination focuses on studying past and present price action to predict the probability of Macfarlane Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Macfarlane Group's price. Additionally, you may evaluate how the addition of Macfarlane Group to your portfolios can decrease your overall portfolio volatility.