Qnity Cash Conversion Cycle from 2010 to 2026
| Q Stock | 111.58 0.00 0.00% |
Cash Conversion Cycle | First Reported 2010-12-31 | Previous Quarter 92.45 | Current Value 90.02 | Quarterly Volatility 2.82610289 |
Check Qnity Electronics financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Qnity Electronics' main balance sheet or income statement drivers, such as Tax Provision of 147.8 M or Interest Income of 3.2 M, as well as many indicators such as Price To Sales Ratio of 3.66 or Dividend Yield of 0.0. Qnity financial statements analysis is a perfect complement when working with Qnity Electronics Valuation or Volatility modules.
Qnity | Cash Conversion Cycle | Build AI portfolio with Qnity Stock |
Evaluating Qnity Electronics's Cash Conversion Cycle across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Qnity Electronics's fundamental strength.
Latest Qnity Electronics' Cash Conversion Cycle Growth Pattern
Below is the plot of the Cash Conversion Cycle of Qnity Electronics over the last few years. It is Qnity Electronics' Cash Conversion Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Qnity Electronics' overall financial position and show how it may be relating to other accounts over time.
| Cash Conversion Cycle | 10 Years Trend |
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Cash Conversion Cycle |
| Timeline |
Qnity Cash Conversion Cycle Regression Statistics
| Arithmetic Mean | 84.05 | |
| Geometric Mean | 84.01 | |
| Coefficient Of Variation | 3.36 | |
| Mean Deviation | 1.69 | |
| Median | 83.28 | |
| Standard Deviation | 2.83 | |
| Sample Variance | 7.99 | |
| Range | 12.058 | |
| R-Value | 0.44 | |
| Mean Square Error | 6.86 | |
| R-Squared | 0.19 | |
| Significance | 0.08 | |
| Slope | 0.25 | |
| Total Sum of Squares | 127.79 |
Qnity Cash Conversion Cycle History
About Qnity Electronics Financial Statements
Qnity Electronics shareholders use historical fundamental indicators, such as Cash Conversion Cycle, to determine how well the company is positioned to perform in the future. Although Qnity Electronics investors may analyze each financial statement separately, they are all interrelated. The changes in Qnity Electronics' assets and liabilities, for example, are also reflected in the revenues and expenses on on Qnity Electronics' 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 | ||
| Cash Conversion Cycle | 92.45 | 90.02 |
Pair Trading with Qnity Electronics
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 Qnity Electronics 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 Qnity Electronics will appreciate offsetting losses from the drop in the long position's value.Moving together with Qnity Stock
Moving against Qnity Stock
| 0.52 | EBON | Ebang International | PairCorr |
| 0.51 | OBD | Obducat AB | PairCorr |
| 0.49 | EHGO | Eshallgo Class A | PairCorr |
| 0.36 | EVLV | Evolv Technologies | PairCorr |
| 0.33 | ELSE | Electro Sensors | PairCorr |
The ability to find closely correlated positions to Qnity Electronics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Qnity Electronics 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 Qnity Electronics - 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 Qnity Electronics to buy it.
The correlation of Qnity Electronics 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 Qnity Electronics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Qnity Electronics 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 Qnity Electronics 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 Qnity Stock Analysis
When running Qnity Electronics' price analysis, check to measure Qnity Electronics' 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 Qnity Electronics is operating at the current time. Most of Qnity Electronics' value examination focuses on studying past and present price action to predict the probability of Qnity Electronics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qnity Electronics' price. Additionally, you may evaluate how the addition of Qnity Electronics to your portfolios can decrease your overall portfolio volatility.