Bausch Change To Inventory from 2010 to 2026
| BLCO Stock | 23.84 0.27 1.15% |
Change To Inventory | First Reported 2020-03-31 | Previous Quarter 2 M | Current Value 20.3 M | Quarterly Volatility 39.3 M |
Check Bausch Lomb financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Bausch Lomb's main balance sheet or income statement drivers, such as Depreciation And Amortization of 344.9 M, Interest Expense of 481.8 M or Selling General Administrative of 1.3 B, as well as many indicators such as Price To Sales Ratio of 1.87, Dividend Yield of 0.0 or PTB Ratio of 0.64. Bausch financial statements analysis is a perfect complement when working with Bausch Lomb Valuation or Volatility modules.
Bausch | Change To Inventory |
Latest Bausch Lomb's Change To Inventory Growth Pattern
Below is the plot of the Change To Inventory of Bausch Lomb Corp over the last few years. It is the increase or decrease in the amount of inventory a company has over a certain period. Bausch Lomb's Change To Inventory historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Bausch Lomb's overall financial position and show how it may be relating to other accounts over time.
| Change To Inventory | 10 Years Trend |
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Change To Inventory |
| Timeline |
Bausch Change To Inventory Regression Statistics
| Arithmetic Mean | (58,189,118) | |
| Coefficient Of Variation | (130.14) | |
| Mean Deviation | 62,362,388 | |
| Median | (7,000,000) | |
| Standard Deviation | 75,726,118 | |
| Sample Variance | 5734.4T | |
| Range | 257M | |
| R-Value | (0.75) | |
| Mean Square Error | 2642T | |
| R-Squared | 0.57 | |
| Significance | 0.0005 | |
| Slope | (11,302,500) | |
| Total Sum of Squares | 91751.1T |
Bausch Change To Inventory History
About Bausch Lomb Financial Statements
Bausch Lomb investors utilize fundamental indicators, such as Change To Inventory, to predict how Bausch Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Change To Inventory | -132.3 M | -138.9 M |
Pair Trading with Bausch Lomb
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 Bausch Lomb 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 Bausch Lomb will appreciate offsetting losses from the drop in the long position's value.Moving together with Bausch Stock
| 0.77 | BNP | BNP Paribas CDR | PairCorr |
| 0.81 | RY | Royal Bank | PairCorr |
| 0.8 | TD | Toronto Dominion Bank | PairCorr |
| 0.81 | BMO | Bank of Montreal | PairCorr |
The ability to find closely correlated positions to Bausch Lomb could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bausch Lomb 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 Bausch Lomb - 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 Bausch Lomb Corp to buy it.
The correlation of Bausch Lomb 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 Bausch Lomb moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bausch Lomb Corp 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 Bausch Lomb 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.Check out the analysis of Bausch Lomb Correlation against competitors. You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.