Software Operating Income from 2010 to 2026
| SWAGW Stock | USD 0.08 0.02 25.38% |
Operating Income | First Reported 2020-03-31 | Previous Quarter 395 K | Current Value -1.8 M | Quarterly Volatility 984.2 K |
Check Software Acquisition financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Software Acquisition's main balance sheet or income statement drivers, such as Tax Provision of 4.7 K, Net Interest Income of 368.3 K or Interest Income of 179.2 K, as well as many indicators such as Price To Sales Ratio of 0.22, Dividend Yield of 0.0 or PTB Ratio of 0.58. Software financial statements analysis is a perfect complement when working with Software Acquisition Valuation or Volatility modules.
Software | Operating Income | Build AI portfolio with Software Stock |
The evolution of Operating Income for Software Acquisition Group provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how Software Acquisition compares to historical norms and industry peers.
Latest Software Acquisition's Operating Income Growth Pattern
Below is the plot of the Operating Income of Software Acquisition Group over the last few years. Operating Income is the amount of profit realized from Software Acquisition operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Software Acquisition Group is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. It is earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations. Software Acquisition's Operating Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Software Acquisition's overall financial position and show how it may be relating to other accounts over time.
| Operating Income | 10 Years Trend |
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Operating Income |
| Timeline |
Software Operating Income Regression Statistics
| Arithmetic Mean | (667,490) | |
| Geometric Mean | 1,022,396 | |
| Coefficient Of Variation | (321.52) | |
| Mean Deviation | 1,764,649 | |
| Median | 593,754 | |
| Standard Deviation | 2,146,085 | |
| Sample Variance | 4.6T | |
| Range | 6.4M | |
| R-Value | (0.77) | |
| Mean Square Error | 2T | |
| R-Squared | 0.59 | |
| Significance | 0.0003 | |
| Slope | (327,133) | |
| Total Sum of Squares | 73.7T |
Software Operating Income History
About Software Acquisition Financial Statements
Software Acquisition investors use historical fundamental indicators, such as Software Acquisition's Operating Income, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Software Acquisition. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Operating Income | -4.4 M | -4.2 M |
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When running Software Acquisition's price analysis, check to measure Software Acquisition'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 Software Acquisition is operating at the current time. Most of Software Acquisition's value examination focuses on studying past and present price action to predict the probability of Software Acquisition's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Software Acquisition's price. Additionally, you may evaluate how the addition of Software Acquisition to your portfolios can decrease your overall portfolio volatility.