Blue Coast Hotels Stock Piotroski F Score

BLUECOAST   9.98  0.00  0.00%   
This module uses fundamental data of Blue Coast to approximate its Piotroski F score. Blue Coast F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Blue Coast Hotels. 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 Blue Coast financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Blue Coast Hotels. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.
  
The current year's Net Debt is expected to grow to about 703.9 M, whereas Short and Long Term Debt Total is forecasted to decline to about 394.2 M.
At this time, it appears that Blue Coast's Piotroski F Score is Inapplicable. 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..
2.0
Piotroski F Score - Inapplicable
Current Return On Assets

N/A

Focus
Change in Return on Assets

N/A

Focus
Cash Flow Return on Assets

Negative

Focus
Current Quality of Earnings (accrual)

Decreasing

Focus
Asset Turnover Growth

N/A

Focus
Current Ratio Change

N/A

Focus
Long Term Debt Over Assets Change

Lower Leverage

Focus
Change In Outstending Shares

Decrease

Focus
Change in Gross Margin

N/A

Focus

Blue Coast Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Blue Coast is to make sure Blue is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Blue Coast'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 Blue Coast's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Total Current Liabilities932.2 M981.3 M
Notably Down
Slightly volatile
Non Current Liabilities Total704.5 M373.5 M
Way Up
Slightly volatile
Total Assets88 M92.7 M
Notably Down
Slightly volatile
Total Current Assets54.2 M57.1 M
Notably Down
Slightly volatile

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

About Blue Coast 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.

Short Long Term Debt Total

394.25 Million

At present, Blue Coast's Short and Long Term Debt Total is projected to decrease significantly based on the last few years of reporting.

About Blue Coast Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Blue Coast Hotels's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Blue Coast using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Blue Coast Hotels 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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Other Information on Investing in Blue Stock

Blue Coast financial ratios help investors to determine whether Blue Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Blue with respect to the benefits of owning Blue Coast security.