Schneider Inventory Turnover from 2010 to 2024
| SNDR Stock | USD 32.85 0.43 1.29% |
Inventory Turnover | First Reported 2010-12-31 | Previous Quarter 41.8956743 | Current Value 61.74 | Quarterly Volatility 33.10785892 |
Check Schneider National financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Schneider National's main balance sheet or income statement drivers, such as Depreciation And Amortization of 312.7 M, Interest Expense of 9.6 M or Selling General Administrative of 238.3 M, as well as many indicators such as Price To Sales Ratio of 0.91, Dividend Yield of 0.0148 or PTB Ratio of 2.42. Schneider financial statements analysis is a perfect complement when working with Schneider National Valuation or Volatility modules.
Schneider | Inventory Turnover |
Latest Schneider National's Inventory Turnover Growth Pattern
Below is the plot of the Inventory Turnover of Schneider National over the last few years. It is a ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management. Schneider National's Inventory Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Schneider National's overall financial position and show how it may be relating to other accounts over time.
| Inventory Turnover | 10 Years Trend |
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Inventory Turnover |
| Timeline |
Schneider Inventory Turnover Regression Statistics
| Arithmetic Mean | 76.60 | |
| Geometric Mean | 71.52 | |
| Coefficient Of Variation | 43.22 | |
| Mean Deviation | 20.85 | |
| Median | 78.86 | |
| Standard Deviation | 33.11 | |
| Sample Variance | 1,096 | |
| Range | 135 | |
| R-Value | 0.13 | |
| Mean Square Error | 1,161 | |
| R-Squared | 0.02 | |
| Significance | 0.65 | |
| Slope | 0.95 | |
| Total Sum of Squares | 15,346 |
Schneider Inventory Turnover History
About Schneider National Financial Statements
Schneider National shareholders use historical fundamental indicators, such as Inventory Turnover, to determine how well the company is positioned to perform in the future. Although Schneider National investors may analyze each financial statement separately, they are all interrelated. The changes in Schneider National's assets and liabilities, for example, are also reflected in the revenues and expenses on on Schneider National'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 | ||
| Inventory Turnover | 41.90 | 61.74 |
Pair Trading with Schneider National
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 Schneider National 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 Schneider National will appreciate offsetting losses from the drop in the long position's value.Moving together with Schneider Stock
| 0.83 | VLRS | Volaris | PairCorr |
| 0.83 | AAL | American Airlines Aggressive Push | PairCorr |
| 0.87 | ALK | Alaska Air Group Fiscal Year End 23rd of January 2025 | PairCorr |
Moving against Schneider Stock
| 0.7 | CP | Canadian Pacific Railway | PairCorr |
| 0.62 | FLYX | flyExclusive, | PairCorr |
| 0.62 | MESA | Mesa Air Group Fiscal Year End 24th of January 2025 | PairCorr |
The ability to find closely correlated positions to Schneider National could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Schneider National 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 Schneider National - 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 Schneider National to buy it.
The correlation of Schneider National 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 Schneider National moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Schneider National 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 Schneider National 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.Additional Tools for Schneider Stock Analysis
When running Schneider National's price analysis, check to measure Schneider National'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 Schneider National is operating at the current time. Most of Schneider National's value examination focuses on studying past and present price action to predict the probability of Schneider National's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schneider National's price. Additionally, you may evaluate how the addition of Schneider National to your portfolios can decrease your overall portfolio volatility.