Meta Platforms Piotroski F Score

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USD 331.90  13.75  4.32%

This module uses fundamental data of Meta Platforms to approximate its Piotroski F score. Meta Platforms F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Meta Platforms. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Meta Platforms financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Please check Meta Platforms Altman Z Score, Meta Platforms Correlation, Meta Platforms Valuation, as well as analyze Meta Platforms Alpha and Beta and Meta Platforms Hype Analysis.

Meta Platforms Piotroski F Score 

 
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Meta Platforms Total Debt is projected to increase significantly based on the last few years of reporting. The past year's Total Debt was at 12.25 Billion. The current year Debt Current is expected to grow to about 1.3 B, whereas Issuance Repayment of Debt Securities is forecasted to decline to (535.7 M). Meta Platforms Long Term Debt to Equity is projected to slightly decrease based on the last few years of reporting. The past year's Long Term Debt to Equity was at 0.002783. The current year Calculated Tax Rate is expected to grow to 14.35, whereas Interest Coverage is forecasted to decline to 54.75.
At this time, it appears that Meta Platforms' Piotroski F Score is Healthy. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
6.0
Piotroski F Score - Healthy
1
Current Return On Assets
Positive
2
Change in Return on Assets
Decreased
3
Cash Flow Return on Assets
Positive
4
Current Quality of Earnings (accrual)
Improving
5
Asset Turnover Growth
Decrease
6
Current Ratio Change
Increase
7
Long Term Debt Over Assets Change
Higher Leverage
8
Change In Outstending Shares
Decrease
9
Change in Gross Margin
Increase

Meta Platforms Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Meta Platforms is to make sure Meta Platforms is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Meta Platforms' 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. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Meta Platforms' financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Weighted Average Shares3.2 B3.3 B
Fairly Down
Increasing
Slightly volatile
Weighted Average Shares Diluted3.3 B3.3 B
Fairly Down
Increasing
Slightly volatile
Net Cash Flow from Operations48.1 B44.6 B
Significantly Up
Increasing
Slightly volatile
Total Assets197.7 B183.2 B
Significantly Up
Increasing
Slightly volatile
Total Liabilities38.5 B35.7 B
Significantly Up
Increasing
Slightly volatile
Current Assets93.9 B87 B
Significantly Up
Increasing
Slightly volatile
Current Liabilities18.6 B17.2 B
Significantly Up
Increasing
Slightly volatile
Total Debt13.2 B12.3 B
Significantly Up
Increasing
Slightly volatile
Return on Average Assets0.20.23
Fairly Down
Increasing
Slightly volatile
Gross Margin0.960.93
Sufficiently Up
Increasing
Slightly volatile
Asset Turnover0.660.68
Sufficiently Down
Increasing
Very volatile

Meta Platforms F 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 project the various growth rates. Understanding the correlation between Meta Platforms' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Meta Platforms in a much-optimized way.

About Meta Platforms Piotroski F Score

F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.

Operating Margin

34.53Share
Meta Platforms Operating Margin is projected to slightly decrease based on the last few years of reporting. The past year's Operating Margin was at 34.20

Meta Platforms Current Valuation Drivers

We derive many important indicators used in calculating different scores of Meta Platforms from analyzing Meta Platforms' financial statements. These drivers represent accounts that assess Meta Platforms' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Meta Platforms' important valuation drivers and their relationship over time.
201720182019202020212022 (projected)
Net Income Per Employee634.69 K621.35 K370.13 K496 K446.4 K393.64 K
Revenue Per Employee1.62 M1.57 M1.42 M1.46 M1.32 M1.26 M
Average Assets76.52 B92.26 B121.07 B145.95 B167.85 B181.1 B
Earnings Before Interest Taxes and Depreciation Amortization EBITDA23.62 B29.68 B30.55 B40.04 B46.05 B49.68 B
Earnings Before Interest Taxes and Depreciation Amortization USD23.62 B29.68 B30.55 B40.04 B46.05 B49.68 B
Earnings before Tax20.59 B25.36 B24.81 B33.18 B38.16 B41.17 B
Average Equity68.56 B80.37 B92.58 B115.44 B132.76 B143.24 B
Enterprise Value505.56 B367.09 B578.47 B777.04 B893.59 B964.14 B
Free Cash Flow17.48 B15.36 B21.21 B23.63 B27.18 B29.32 B
Invested Capital52.58 B60.7 B89.96 B117.74 B135.4 B146.09 B
Invested Capital Average45.74 B56.08 B82.47 B104.95 B120.7 B130.23 B
Market Capitalization512.76 B376.72 B585.32 B778.04 B894.75 B965.38 B
Tangible Asset Value64.42 B77.74 B113.77 B139.64 B160.59 B173.27 B
Working Capital44.8 B43.46 B51.17 B60.69 B69.79 B75.3 B

About Meta Platforms Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Meta Platforms's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Meta Platforms using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Meta Platforms 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.
Meta Platforms, Inc. develops products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality headsets, and in-home devices worldwide. Meta Platforms, Inc. was founded in 2004 and is headquartered in Menlo Park, California. Meta Platforms operates under Internet Content Information classification in the United States and is traded on NASDAQ Exchange. It employs 68177 people.

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Please check Meta Platforms Altman Z Score, Meta Platforms Correlation, Meta Platforms Valuation, as well as analyze Meta Platforms Alpha and Beta and Meta Platforms Hype Analysis. Note that the Meta Platforms information on this page should be used as a complementary analysis to other Meta Platforms' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Equity Valuation module to check real value of public entities based on technical and fundamental data.

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When running Meta Platforms price analysis, check to measure Meta Platforms' 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 Meta Platforms is operating at the current time. Most of Meta Platforms' value examination focuses on studying past and present price action to predict the probability of Meta Platforms' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Meta Platforms' price. Additionally, you may evaluate how the addition of Meta Platforms to your portfolios can decrease your overall portfolio volatility.
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Is Meta Platforms' industry 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 Meta Platforms. If investors know Meta Platforms 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 Meta Platforms listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Meta Platforms is measured differently than its book value, which is the value of Meta Platforms that is recorded on the company's balance sheet. Investors also form their own opinion of Meta Platforms' value that differs from its market value or its book value, called intrinsic value, which is Meta Platforms' 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 Meta Platforms' market value can be influenced by many factors that don't directly affect Meta Platforms' 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 Meta Platforms' value and its price as these two are different measures arrived at by different means. Investors typically determine Meta Platforms value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Meta Platforms' 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.