Sands China Ltd Stock Probability Of Bankruptcy
| SCHYY Stock | USD 27.03 0.18 0.66% |
Sands |
Sands China Ltd Company probability of bankruptcy Analysis
Sands China's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Sands China Probability Of Bankruptcy | Less than 28% |
Most of Sands China's fundamental indicators, such as Probability Of Bankruptcy, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Sands China Ltd is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Sands China probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Sands China odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Sands China Ltd financial health.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
| Competition |
Based on the latest financial disclosure, Sands China Ltd has a Probability Of Bankruptcy of 28.0%. This is 32.35% lower than that of the Consumer Cyclical sector and 43.35% lower than that of the Resorts & Casinos industry. The probability of bankruptcy for all United States stocks is 29.7% higher than that of the company.
Sands Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Sands China's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Sands China could also be used in its relative valuation, which is a method of valuing Sands China by comparing valuation metrics of similar companies.Sands China is currently under evaluation in probability of bankruptcy category among its peers.
Sands Fundamentals
| Return On Equity | -1.69 | |||
| Return On Asset | -0.0542 | |||
| Profit Margin | (0.66) % | |||
| Operating Margin | (0.40) % | |||
| Current Valuation | 34.89 B | |||
| Shares Outstanding | 809.32 M | |||
| Price To Earning | 149.84 X | |||
| Price To Book | 207.31 X | |||
| Price To Sales | 12.43 X | |||
| Revenue | 2.87 B | |||
| Gross Profit | 1.73 B | |||
| EBITDA | 25 M | |||
| Net Income | (1.05 B) | |||
| Cash And Equivalents | 766 M | |||
| Cash Per Share | 0.95 X | |||
| Total Debt | 7.82 B | |||
| Current Ratio | 1.09 X | |||
| Book Value Per Share | 0.16 X | |||
| Cash Flow From Operations | 88 M | |||
| Earnings Per Share | (1.30) X | |||
| Price To Earnings To Growth | 5.51 X | |||
| Number Of Employees | 25.11 K | |||
| Beta | 1.04 | |||
| Market Capitalization | 29.95 B | |||
| Total Asset | 10.09 B | |||
| Z Score | 1.8 | |||
| Annual Yield | 0.06 % | |||
| Five Year Return | 5.26 % | |||
| Net Asset | 10.09 B |
About Sands China Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Sands China Ltd's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Sands China using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Sands China Ltd 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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When running Sands China's price analysis, check to measure Sands China'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 Sands China is operating at the current time. Most of Sands China's value examination focuses on studying past and present price action to predict the probability of Sands China's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sands China's price. Additionally, you may evaluate how the addition of Sands China to your portfolios can decrease your overall portfolio volatility.