HAIAU Stock | | | USD 11.37 0.10 0.89% |
This module uses fundamental data of Healthcare to approximate the value of its Beneish M Score. Healthcare 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
Healthcare Piotroski F Score and
Healthcare Altman Z Score analysis.
At this time, Healthcare's
Net Debt is comparatively stable compared to the past year.
Debt To Equity is likely to gain to 0.04 in 2024, whereas
Short Term Debt is likely to drop slightly above 188.1
K in 2024.
At this time, it appears that Healthcare AI Acquisition is an unlikely manipulator. The earnings manipulation may begin if Healthcare'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 Healthcare 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 Healthcare'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.
-5.86
Beneish M Score - Unlikely Manipulator
| Elasticity of Receivables | N/A | Focus |
| Gross Margin Strengs | N/A | Focus |
| Depreciation Resistance | N/A | Focus |
| Financial Leverage Condition | 1.26 | Focus |
Healthcare Beneish M-Score Indicator Trends
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 Healthcare'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.
Healthcare AI Acquisition 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 Healthcare's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Healthcare in a much-optimized way. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find Healthcare's degree of accounting gimmicks and manipulations.
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About Healthcare Beneish M Score
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.
Healthcare ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Healthcare's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Healthcare's managers, analysts, and investors.
About Healthcare Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Healthcare AI Acquisition's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Healthcare using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Healthcare AI Acquisition 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.
Please read more on our
fundamental analysis page.
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Additional Tools for Healthcare Stock Analysis
When running Healthcare's price analysis, check to
measure Healthcare'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 Healthcare is operating at the current time. Most of Healthcare's value examination focuses on studying past and present price action to
predict the probability of Healthcare's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Healthcare's price. Additionally, you may evaluate how the addition of Healthcare to your portfolios can decrease your overall portfolio volatility.