This module uses fundamental data of Lumine to approximate the value of its Beneish M Score. Lumine 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 Lumine Group. 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.
Lumine
Beneish M Score
Days Sales Outstanding
Ev To Sales
Roic
Days Of Inventory On Hand
Payables Turnover
Sales General And Administrative To Revenue
Capex To Revenue
Capex To Operating Cash Flow
Days Payables Outstanding
Income Quality
Roe
Ev To Operating Cash Flow
Return On Tangible Assets
Ev To Free Cash Flow
Intangibles To Total Assets
Net Debt To E B I T D A
Current Ratio
Receivables Turnover
Enterprise Value Over E B I T D A
Operating Cycle
Days Of Payables Outstanding
Ebt Per Ebit
Effective Tax Rate
Company Equity Multiplier
Return On Capital Employed
Quick Ratio
Dividend Paid And Capex Coverage Ratio
Net Income Per E B T
Cash Conversion Cycle
Operating Cash Flow Sales Ratio
Days Of Inventory Outstanding
Days Of Sales Outstanding
Fixed Asset Turnover
Capital Expenditure Coverage Ratio
Enterprise Value Multiple
Return On Assets
Asset Turnover
Return On Equity
Probability Of Bankruptcy
At this time, Lumine's Interest Debt Per Share is fairly stable compared to the past year. Cash Flow To Debt Ratio is likely to climb to 1.39 in 2024, whereas Long Term Debt is likely to drop slightly above 92.3 M in 2024. At this time, Lumine's Asset Turnover is fairly stable compared to the past year. Return On Equity is likely to climb to 0.77 in 2024, whereas EV To Sales is likely to drop 2.65 in 2024.
At this time, Lumine's M Score is inapplicable. The earnings manipulation may begin if Lumine'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 Lumine 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 Lumine'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 Lumine'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.
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 Lumine's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Lumine in a much-optimized way. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find Lumine'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.
The Macroaxis Fundamental Analysis modules help investors analyze Lumine Group's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Lumine using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Lumine 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.
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When running Lumine's price analysis, check to measure Lumine'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 Lumine is operating at the current time. Most of Lumine's value examination focuses on studying past and present price action to predict the probability of Lumine's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lumine's price. Additionally, you may evaluate how the addition of Lumine to your portfolios can decrease your overall portfolio volatility.