Cymbria Days Sales Outstanding vs Price To Sales Ratio Analysis
CYB Stock | CAD 75.00 0.10 0.13% |
Cymbria financial indicator trend analysis is way more than just evaluating Cymbria prevailing accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Cymbria is a good investment. Please check the relationship between Cymbria Days Sales Outstanding and its Price To Sales Ratio accounts. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Cymbria. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Days Sales Outstanding vs Price To Sales Ratio
Days Sales Outstanding vs Price To Sales Ratio Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Cymbria Days Sales Outstanding account and Price To Sales Ratio. At this time, the significance of the direction appears to have fragmental relationship.
The correlation between Cymbria's Days Sales Outstanding and Price To Sales Ratio is 0.53. Overlapping area represents the amount of variation of Days Sales Outstanding that can explain the historical movement of Price To Sales Ratio in the same time period over historical financial statements of Cymbria, assuming nothing else is changed. The correlation between historical values of Cymbria's Days Sales Outstanding and Price To Sales Ratio is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Days Sales Outstanding of Cymbria are associated (or correlated) with its Price To Sales Ratio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Price To Sales Ratio has no effect on the direction of Days Sales Outstanding i.e., Cymbria's Days Sales Outstanding and Price To Sales Ratio go up and down completely randomly.
Correlation Coefficient | 0.53 |
Relationship Direction | Positive |
Relationship Strength | Weak |
Days Sales Outstanding
Price To Sales Ratio
Price to Sales Ratio is figured by comparing Cymbria stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Cymbria sales, a figure that is much harder to manipulate than other Cymbria multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. A valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period.Most indicators from Cymbria's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Cymbria current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Cymbria. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. As of the 3rd of December 2024, Tax Provision is likely to grow to about 28.4 M, while Selling General Administrative is likely to drop about 2.7 M.
2021 | 2022 | 2023 | 2024 (projected) | Total Operating Expenses | 6.7M | 6.7M | 240.3M | 252.3M | Cost Of Revenue | 11.4M | 12.2M | 12.7M | 7.9M |
Cymbria fundamental ratios Correlations
Click cells to compare fundamentals
Cymbria Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Cymbria fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 1.3B | 1.2B | 1.5B | 1.4B | 1.7B | 978.1M | |
Other Current Liab | (1.0M) | 37.8M | (9.5M) | 16.4M | 11.3M | 11.9M | |
Total Current Liabilities | 1.0M | 37.8M | 57.0M | 41.4M | 3.3M | 3.1M | |
Total Stockholder Equity | 1.2B | 1.2B | 1.4B | 1.4B | 1.6B | 934.5M | |
Net Debt | (79.3M) | (41.6M) | (94.9M) | (74.5M) | (88.8M) | (84.4M) | |
Cash | 85.3M | 47.6M | 97.4M | 104.5M | 138.8M | 145.8M | |
Non Current Assets Total | 1.2B | 1.2B | 1.4B | 1.3B | 1.5B | 914.5M | |
Non Currrent Assets Other | (1.3B) | (1.2B) | (1.5B) | (1.4B) | (1.7B) | (1.6B) | |
Cash And Short Term Investments | 85.3M | 47.6M | 97.4M | 104.5M | 138.8M | 145.8M | |
Net Receivables | 825K | 1.3M | 1.5M | 1.8M | 3.4M | 3.6M | |
Common Stock Shares Outstanding | 23.8M | 22.3M | 23.8M | 23.1M | 23.6M | 24.3M | |
Liabilities And Stockholders Equity | 1.3B | 1.2B | 1.5B | 1.4B | 1.7B | 978.1M | |
Total Liab | 47.6M | 6M | 2.6M | 30.1M | 116.6M | 122.4M | |
Total Current Assets | 86.1M | 48.9M | 98.9M | 106.3M | 1.8B | 1.9B | |
Other Assets | 1.1B | 7.0M | 17.0M | 16.6M | (1.7B) | (1.6B) | |
Long Term Investments | 1.2B | 1.2B | 1.4B | 1.3B | 1.5B | 1.3B | |
Cash And Equivalents | 85.3M | 47.6M | 97.4M | 104.5M | 120.2M | 82.5M | |
Retained Earnings | 987.7M | 972.5M | 1.2B | 1.1B | 1.3B | 1.1B |
Pair Trading with Cymbria
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Cymbria position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cymbria will appreciate offsetting losses from the drop in the long position's value.Moving together with Cymbria Stock
0.66 | CEF | Sprott Physical Gold | PairCorr |
0.64 | PHYS | Sprott Physical Gold | PairCorr |
0.61 | EVT | Economic Investment Trust | PairCorr |
The ability to find closely correlated positions to Cymbria could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cymbria when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Cymbria - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Cymbria to buy it.
The correlation of Cymbria is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Cymbria moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cymbria moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Cymbria can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Cymbria Stock
Balance Sheet is a snapshot of the financial position of Cymbria at a specified time, usually calculated after every quarter, six months, or one year. Cymbria Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Cymbria and are divided into current liabilities and long term liabilities. An asset, on the other hand, is anything of value that can be converted into cash and which Cymbria currently owns. An asset can also be divided into two categories, current and non-current.