SPAR End Period Cash Flow from 2010 to 2025
| SGRP Stock | USD 2.01 0.03 1.52% |
End Period Cash Flow | First Reported 1996-03-31 | Previous Quarter 21.7 M | Current Value 19.7 M | Quarterly Volatility 5.8 M |
Check SPAR financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among SPAR's main balance sheet or income statement drivers, such as Depreciation And Amortization of 1.9 M, Total Revenue of 317.3 M or Gross Profit of 32.6 M, as well as many indicators such as Price To Sales Ratio of 0.098, Dividend Yield of 0.0 or PTB Ratio of 0.91. SPAR financial statements analysis is a perfect complement when working with SPAR Valuation or Volatility modules.
SPAR | End Period Cash Flow |
Latest SPAR's End Period Cash Flow Growth Pattern
Below is the plot of the End Period Cash Flow of SPAR Group over the last few years. It is SPAR's End Period Cash Flow historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in SPAR's overall financial position and show how it may be relating to other accounts over time.
| End Period Cash Flow | 10 Years Trend |
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End Period Cash Flow |
| Timeline |
SPAR End Period Cash Flow Regression Statistics
| Arithmetic Mean | 7,485,352 | |
| Geometric Mean | 5,903,963 | |
| Coefficient Of Variation | 59.42 | |
| Mean Deviation | 3,590,423 | |
| Median | 7,324,000 | |
| Standard Deviation | 4,447,674 | |
| Sample Variance | 19.8T | |
| Range | 14.8M | |
| R-Value | 0.78 | |
| Mean Square Error | 8.1T | |
| R-Squared | 0.62 | |
| Significance | 0.0003 | |
| Slope | 733,286 | |
| Total Sum of Squares | 296.7T |
SPAR End Period Cash Flow History
About SPAR Financial Statements
SPAR shareholders use historical fundamental indicators, such as End Period Cash Flow, to determine how well the company is positioned to perform in the future. Although SPAR investors may analyze each financial statement separately, they are all interrelated. The changes in SPAR's assets and liabilities, for example, are also reflected in the revenues and expenses on on SPAR'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 | ||
| End Period Cash Flow | 12.3 M | 6.6 M |
Pair Trading with SPAR
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 SPAR 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 SPAR will appreciate offsetting losses from the drop in the long position's value.Moving against SPAR Stock
The ability to find closely correlated positions to SPAR could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SPAR 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 SPAR - 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 SPAR Group to buy it.
The correlation of SPAR 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 SPAR moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SPAR Group 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 SPAR 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 SPAR Stock Analysis
When running SPAR's price analysis, check to measure SPAR'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 SPAR is operating at the current time. Most of SPAR's value examination focuses on studying past and present price action to predict the probability of SPAR's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SPAR's price. Additionally, you may evaluate how the addition of SPAR to your portfolios can decrease your overall portfolio volatility.