Net Operating Income from 2010 to 2025
| NLOP Stock | 30.14 0.76 2.46% |
Operating Income | First Reported 2010-12-31 | Previous Quarter 36.1 M | Current Value 45.1 M | Quarterly Volatility 10.7 M |
Check Net Lease financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Net Lease's main balance sheet or income statement drivers, such as Tax Provision of 551.5 K, Depreciation And Amortization of 75.8 M or Interest Expense of 28.2 M, as well as many indicators such as Price To Sales Ratio of 1.78, Dividend Yield of 0.0 or PTB Ratio of 0.22. Net financial statements analysis is a perfect complement when working with Net Lease Valuation or Volatility modules.
Net | Operating Income |
Latest Net Lease's Operating Income Growth Pattern
Below is the plot of the Operating Income of Net Lease Office over the last few years. Operating Income is the amount of profit realized from Net Lease Office 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 Net Lease Office 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. Net Lease's Operating Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Net Lease's overall financial position and show how it may be relating to other accounts over time.
| Operating Income | 10 Years Trend |
|
Operating Income |
| Timeline |
Net Operating Income Regression Statistics
| Arithmetic Mean | 55,653,001 | |
| Geometric Mean | 54,699,712 | |
| Coefficient Of Variation | 19.19 | |
| Mean Deviation | 7,266,998 | |
| Median | 58,625,000 | |
| Standard Deviation | 10,681,343 | |
| Sample Variance | 114.1T | |
| Range | 48M | |
| R-Value | (0.43) | |
| Mean Square Error | 99.9T | |
| R-Squared | 0.18 | |
| Significance | 0.1 | |
| Slope | (959,171) | |
| Total Sum of Squares | 1711.4T |
Net Operating Income History
About Net Lease Financial Statements
Net Lease shareholders use historical fundamental indicators, such as Operating Income, to determine how well the company is positioned to perform in the future. Although Net Lease investors may analyze each financial statement separately, they are all interrelated. The changes in Net Lease's assets and liabilities, for example, are also reflected in the revenues and expenses on on Net Lease'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 | ||
| Operating Income | 36.1 M | 45.1 M |
Pair Trading with Net Lease
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 Net Lease 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 Net Lease will appreciate offsetting losses from the drop in the long position's value.Moving against Net Stock
| 0.58 | WHLR | Wheeler Real Estate | PairCorr |
| 0.51 | UK | Ucommune International | PairCorr |
| 0.5 | AHT-PD | Ashford Hospitality Trust | PairCorr |
| 0.42 | O | Realty Income | PairCorr |
| 0.37 | AHT-PG | Ashford Hospitality Trust | PairCorr |
The ability to find closely correlated positions to Net Lease could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Net Lease 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 Net Lease - 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 Net Lease Office to buy it.
The correlation of Net Lease 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 Net Lease moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Net Lease Office 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 Net Lease 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 Net Stock Analysis
When running Net Lease's price analysis, check to measure Net Lease'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 Net Lease is operating at the current time. Most of Net Lease's value examination focuses on studying past and present price action to predict the probability of Net Lease's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Net Lease's price. Additionally, you may evaluate how the addition of Net Lease to your portfolios can decrease your overall portfolio volatility.