Juniper Ev To Sales vs Income Quality Analysis
JNPR Stock | USD 37.23 0.10 0.27% |
Juniper Networks financial indicator trend analysis is infinitely more than just investigating Juniper Networks recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Juniper Networks is a good investment. Please check the relationship between Juniper Networks Ev To Sales and its Income Quality accounts. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Juniper Networks. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey. To learn how to invest in Juniper Stock, please use our How to Invest in Juniper Networks guide.
Ev To Sales vs Income Quality
Ev To Sales vs Income Quality Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Juniper Networks Ev To Sales account and Income Quality. At this time, the significance of the direction appears to have weak contrarian relationship.
The correlation between Juniper Networks' Ev To Sales and Income Quality is -0.19. Overlapping area represents the amount of variation of Ev To Sales that can explain the historical movement of Income Quality in the same time period over historical financial statements of Juniper Networks, assuming nothing else is changed. The correlation between historical values of Juniper Networks' Ev To Sales and Income Quality is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Ev To Sales of Juniper Networks are associated (or correlated) with its Income Quality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Income Quality has no effect on the direction of Ev To Sales i.e., Juniper Networks' Ev To Sales and Income Quality go up and down completely randomly.
Correlation Coefficient | -0.19 |
Relationship Direction | Negative |
Relationship Strength | Insignificant |
Ev To Sales
The Enterprise Value to Sales ratio, a valuation metric used to compare the value of a company, including debt and excluding cash, to its sales revenue.Income Quality
An assessment of the sustainability of a company's earnings over time, considering factors like revenue source diversification and cost structure.Most indicators from Juniper Networks' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Juniper Networks current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Juniper Networks. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey. To learn how to invest in Juniper Stock, please use our How to Invest in Juniper Networks guide.At this time, Juniper Networks' Tax Provision is relatively stable compared to the past year. As of 12/11/2024, Issuance Of Capital Stock is likely to grow to about 62.9 M, while Sales General And Administrative To Revenue is likely to drop 0.04.
2021 | 2022 | 2023 | 2024 (projected) | Interest Expense | 50.8M | 58.6M | 76.9M | 73.1M | Depreciation And Amortization | 275.4M | 217.7M | 194.7M | 177.0M |
Juniper Networks fundamental ratios Correlations
Click cells to compare fundamentals
Juniper Networks Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Juniper Networks fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 8.8B | 9.4B | 8.9B | 9.3B | 9.5B | 7.8B | |
Short Long Term Debt Total | 1.8B | 2.3B | 1.8B | 1.7B | 1.7B | 1.4B | |
Other Current Liab | 469.2M | 282.8M | 334.4M | 384.2M | 474.4M | 321.6M | |
Total Current Liabilities | 1.5B | 2.2B | 1.9B | 2.1B | 2.1B | 1.3B | |
Total Stockholder Equity | 4.6B | 4.5B | 4.3B | 4.5B | 4.5B | 4.9B | |
Property Plant And Equipment Net | 1.0B | 946.9M | 864.3M | 808.4M | 801.3M | 644.3M | |
Net Debt | 626.2M | 928.9M | 906.5M | 838.9M | 631.6M | 663.2M | |
Retained Earnings | (2.7B) | (2.7B) | (2.7B) | (2.4B) | (2.3B) | (2.4B) | |
Accounts Payable | 219.5M | 277M | 273.7M | 347.4M | 295.1M | 208.7M | |
Cash | 1.2B | 1.4B | 922.5M | 880.1M | 1.1B | 1.5B | |
Non Current Assets Total | 5.6B | 6.1B | 5.9B | 5.7B | 5.7B | 4.9B | |
Non Currrent Assets Other | 514.6M | 567.3M | 564.2M | 866.7M | 978.7M | 1.0B | |
Cash And Short Term Investments | 2.0B | 1.8B | 1.2B | 1.1B | 1.2B | 2.0B | |
Net Receivables | 879.7M | 964.1M | 994.4M | 1.2B | 1.0B | 583.1M | |
Common Stock Shares Outstanding | 348.2M | 335.2M | 331.6M | 329.5M | 325.9M | 367.6M | |
Liabilities And Stockholders Equity | 8.8B | 9.4B | 8.9B | 9.3B | 9.5B | 7.8B | |
Non Current Liabilities Total | 2.7B | 2.7B | 2.7B | 2.8B | 2.9B | 1.6B | |
Other Current Assets | 376.3M | 322.9M | 451.6M | 680M | 591.5M | 621.1M | |
Other Stockholder Equity | 7.4B | 7.2B | 7.0B | 6.8B | 6.7B | 7.1B | |
Total Liab | 4.2B | 4.8B | 4.6B | 4.9B | 5.0B | 2.9B | |
Total Current Assets | 3.2B | 3.3B | 3.0B | 3.6B | 3.8B | 2.9B | |
Short Term Debt | 42.3M | 421.5M | 47.2M | 47.4M | 46.4M | 44.1M | |
Current Deferred Revenue | 812.9M | 867.3M | 937.9M | 1.0B | 1.1B | 657.3M | |
Short Term Investments | 738M | 412.1M | 315.5M | 210.3M | 139.4M | 132.4M | |
Property Plant And Equipment Gross | 1.0B | 946.9M | 864.3M | 808.4M | 2.1B | 2.2B | |
Accumulated Other Comprehensive Income | (18.5M) | 55.6M | (2.1M) | 4.2M | 49.1M | 51.6M | |
Intangible Assets | 185.8M | 266.7M | 284.3M | 160.5M | 91.8M | 87.2M | |
Other Assets | 298M | 1.4B | 564.2M | 448.2M | 515.4M | 260.6M | |
Long Term Debt | 1.7B | 1.7B | 1.7B | 1.6B | 1.6B | 1.3B | |
Common Stock | 4.8B | 4.6B | 4.5B | 4.3B | 5.0B | 5.2B | |
Property Plant Equipment | 830.9M | 762.3M | 864.3M | 666.8M | 766.8M | 665.4M | |
Good Will | 3.3B | 3.7B | 3.8B | 3.7B | 3.4B | 3.2B | |
Inventory | 90.6M | 210.2M | 272.6M | 619.4M | 952.4M | 1.0B | |
Other Liab | 838.1M | 804.4M | 864.6M | 966.3M | 1.1B | 591.6M | |
Net Tangible Assets | 1.1B | 607.2M | 270.5M | 580.2M | 522.2M | 496.1M | |
Retained Earnings Total Equity | (2.7B) | (2.7B) | (2.7B) | (2.4B) | (2.7B) | (2.9B) | |
Capital Surpluse | 7.4B | 7.2B | 7.0B | 6.8B | 6.2B | 6.7B |
Pair Trading with Juniper Networks
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 Juniper Networks 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 Juniper Networks will appreciate offsetting losses from the drop in the long position's value.Moving together with Juniper Stock
Moving against Juniper Stock
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The ability to find closely correlated positions to Juniper Networks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Juniper Networks 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 Juniper Networks - 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 Juniper Networks to buy it.
The correlation of Juniper Networks 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 Juniper Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Juniper Networks 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 Juniper Networks 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 Juniper Stock Analysis
When running Juniper Networks' price analysis, check to measure Juniper Networks' 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 Juniper Networks is operating at the current time. Most of Juniper Networks' value examination focuses on studying past and present price action to predict the probability of Juniper Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Juniper Networks' price. Additionally, you may evaluate how the addition of Juniper Networks to your portfolios can decrease your overall portfolio volatility.