Moog Piotroski F Score

MOG-A
 Stock
  

USD 86.66  2.08  2.34%   

This module uses fundamental data of Moog to approximate its Piotroski F score. Moog F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Moog Inc. 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 Moog financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Additionally, see Moog Altman Z Score, Moog Correlation, Moog Valuation, as well as analyze Moog Alpha and Beta and Moog Hype Analysis.
  
The current year Long Term Debt to Equity is expected to grow to 0.72. The current year Debt to Equity Ratio is expected to grow to 0.72. Moog Interest Coverage is projected to increase slightly based on the last few years of reporting. The past year's Interest Coverage was at 6.40. The current year Long Term Debt to Equity is expected to grow to 0.72, whereas Accrued Expenses Turnover is forecasted to decline to 14.46.
At this time, it appears that Moog's 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 AssetsPositiveFocus
2
Change in Return on AssetsIncreasedFocus
3
Cash Flow Return on AssetsPositiveFocus
4
Current Quality of Earnings (accrual)DecreasingFocus
5
Asset Turnover GrowthIncreaseFocus
6
Current Ratio ChangeIncreaseFocus
7
Long Term Debt Over Assets ChangeN/AFocus
8
Change In Outstending SharesIncreaseFocus
9
Change in Gross MarginIncreaseFocus

Moog Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Moog is to make sure Moog is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Moog'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. 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 Moog's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Weighted Average Shares Diluted36 M32.1 M
Moderately Up
Decreasing
Slightly volatile
Weighted Average Shares35.7 M32 M
Moderately Up
Decreasing
Slightly volatile
Return on Average Assets4.814.5208
Notably Up
Increasing
Slightly volatile
Net Cash Flow from Operations244.5 M246.8 M
Slightly Down
Increasing
Slightly volatile
Current Liabilities772.6 M838.4 M
Significantly Down
Increasing
Slightly volatile
Total LiabilitiesBB
Fairly Up
Increasing
Stable
Gross Margin29.6527.0375
Significantly Up
Decreasing
Slightly volatile
Asset Turnover0.90.8869
Fairly Up
Increasing
Slightly volatile
Current Assets1.8 B1.8 B
Fairly Up
Increasing
Slightly volatile
Total Assets3.4 B3.4 B
Slightly Up
Increasing
Slightly volatile

Moog Inc 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 Moog's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Moog in a much-optimized way.

About Moog 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.

Long Term Debt to Equity

0.72

Moog 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 0.58

About Moog Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Moog Inc's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Moog using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Moog Inc 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.
Moog Inc. designs, manufactures, and integrates precision motion and fluid controls and controls systems for original equipment manufacturers and end users in the aerospace, defense, and industrial markets worldwide. The company was incorporated in 1951 and is headquartered in East Aurora, New York. Moog operates under Aerospace Defense classification in the United States and is traded on NYQ Exchange. It employs 14000 people.

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Additionally, see Moog Altman Z Score, Moog Correlation, Moog Valuation, as well as analyze Moog Alpha and Beta and Moog Hype Analysis. You can also try Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.

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Please note, there is a significant difference between Moog's value and its price as these two are different measures arrived at by different means. Investors typically determine Moog value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Moog'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.