Orange Price To Sales Ratio from 2010 to 2024
| OBT Stock | USD 54.87 1.30 2.31% |
Price To Sales Ratio | First Reported 2010-12-31 | Previous Quarter 3.60967401 | Current Value 2.23 | Quarterly Volatility 0.40543501 |
Check Orange County financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Orange County's main balance sheet or income statement drivers, such as Depreciation And Amortization of 2.1 M, Selling General Administrative of 19.9 M or Selling And Marketing Expenses of 1.1 M, as well as many indicators such as Price To Sales Ratio of 2.23, Dividend Yield of 0.0145 or PTB Ratio of 2.15. Orange financial statements analysis is a perfect complement when working with Orange County Valuation or Volatility modules.
Orange | Price To Sales Ratio |
Latest Orange County's Price To Sales Ratio Growth Pattern
Below is the plot of the Price To Sales Ratio of Orange County Bancorp over the last few years. Price to Sales Ratio is figured by comparing Orange County Bancorp stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Orange County sales, a figure that is much harder to manipulate than other Orange County Bancorp multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. It is 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. Orange County's Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Orange County's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 3.21 X | 10 Years Trend |
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Price To Sales Ratio |
| Timeline |
Orange Price To Sales Ratio Regression Statistics
| Arithmetic Mean | 2.73 | |
| Geometric Mean | 2.70 | |
| Coefficient Of Variation | 14.86 | |
| Mean Deviation | 0.32 | |
| Median | 2.77 | |
| Standard Deviation | 0.41 | |
| Sample Variance | 0.16 | |
| Range | 1.552 | |
| R-Value | 0.0008 | |
| Mean Square Error | 0.18 | |
| R-Squared | 0.00000072 | |
| Significance | 1.00 | |
| Slope | 0.000077 | |
| Total Sum of Squares | 2.30 |
Orange Price To Sales Ratio History
About Orange County Financial Statements
Orange County shareholders use historical fundamental indicators, such as Price To Sales Ratio, to determine how well the company is positioned to perform in the future. Although Orange County investors may analyze each financial statement separately, they are all interrelated. The changes in Orange County's assets and liabilities, for example, are also reflected in the revenues and expenses on on Orange County's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Price To Sales Ratio | 3.61 | 2.23 |
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Additional Tools for Orange Stock Analysis
When running Orange County's price analysis, check to measure Orange County'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 Orange County is operating at the current time. Most of Orange County's value examination focuses on studying past and present price action to predict the probability of Orange County's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Orange County's price. Additionally, you may evaluate how the addition of Orange County to your portfolios can decrease your overall portfolio volatility.