American Total Current Liabilities from 2010 to 2024
AWR Stock | USD 85.03 0.98 1.17% |
Total Current Liabilities | First Reported 1994-03-31 | Previous Quarter 299.1 M | Current Value 321.4 M | Quarterly Volatility 66.7 M |
Check American States financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among American States' main balance sheet or income statement drivers, such as Interest Expense of 44.9 M, Total Revenue of 302.3 M or Gross Profit of 228.2 M, as well as many indicators such as Price To Sales Ratio of 5.24, Dividend Yield of 0.033 or PTB Ratio of 4.02. American financial statements analysis is a perfect complement when working with American States Valuation or Volatility modules.
American | Total Current Liabilities |
Latest American States' Total Current Liabilities Growth Pattern
Below is the plot of the Total Current Liabilities of American States Water over the last few years. Total Current Liabilities is an item on American States balance sheet that include short term debt, accounts payable, accrued salaries payable, payroll taxes payable, accrued liabilities and other debts. Total Current Liabilities of American States Water are important to investors because some useful performance ratios such as Current Ratio and Quick Ratio require Total Current Liabilities to be accurate. It is the total amount of liabilities that a company is expected to pay within one year, including debts, accounts payable, and other short-term financial obligations. American States' Total Current Liabilities historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in American States' overall financial position and show how it may be relating to other accounts over time.
Total Current Liabilities | 10 Years Trend |
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Total Current Liabilities |
Timeline |
American Total Current Liabilities Regression Statistics
Arithmetic Mean | 141,538,588 | |
Geometric Mean | 127,701,077 | |
Coefficient Of Variation | 55.21 | |
Mean Deviation | 46,757,129 | |
Median | 120,228,826 | |
Standard Deviation | 78,148,639 | |
Sample Variance | 6107.2T | |
Range | 349.9M | |
R-Value | 0.54 | |
Mean Square Error | 4672.1T | |
R-Squared | 0.29 | |
Significance | 0.04 | |
Slope | 9,404,235 | |
Total Sum of Squares | 85500.9T |
American Total Current Liabilities History
About American States Financial Statements
American States shareholders use historical fundamental indicators, such as Total Current Liabilities, to determine how well the company is positioned to perform in the future. Although American States investors may analyze each financial statement separately, they are all interrelated. The changes in American States' assets and liabilities, for example, are also reflected in the revenues and expenses on on American States' 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 | ||
Total Current Liabilities | 166.6 M | 120.2 M |
Pair Trading with American States
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 American States 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 American States will appreciate offsetting losses from the drop in the long position's value.Moving against American Stock
The ability to find closely correlated positions to American States could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace American States 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 American States - 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 American States Water to buy it.
The correlation of American States 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 American States moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if American States Water 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 American States 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 American Stock Analysis
When running American States' price analysis, check to measure American States' 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 American States is operating at the current time. Most of American States' value examination focuses on studying past and present price action to predict the probability of American States' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move American States' price. Additionally, you may evaluate how the addition of American States to your portfolios can decrease your overall portfolio volatility.