FactSet Short Term Debt vs Property Plant Equipment Analysis

FDS Stock  USD 436.04  0.00  0.00%   
FactSet Research financial indicator trend analysis is much more than just examining FactSet Research Systems latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether FactSet Research Systems is a good investment. Please check the relationship between FactSet Research Short Term Debt and its Property Plant Equipment accounts. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FactSet Research Systems. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment.

Short Term Debt vs Property Plant Equipment

Short Term Debt vs Property Plant Equipment Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of FactSet Research Systems Short Term Debt account and Property Plant Equipment. At this time, the significance of the direction appears to have no relationship.
The correlation between FactSet Research's Short Term Debt and Property Plant Equipment is 0.07. Overlapping area represents the amount of variation of Short Term Debt that can explain the historical movement of Property Plant Equipment in the same time period over historical financial statements of FactSet Research Systems, assuming nothing else is changed. The correlation between historical values of FactSet Research's Short Term Debt and Property Plant Equipment is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Short Term Debt of FactSet Research Systems are associated (or correlated) with its Property Plant Equipment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Property Plant Equipment has no effect on the direction of Short Term Debt i.e., FactSet Research's Short Term Debt and Property Plant Equipment go up and down completely randomly.

Correlation Coefficient

0.07
Relationship DirectionPositive 
Relationship StrengthInsignificant

Short Term Debt

Property Plant Equipment

Most indicators from FactSet Research's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into FactSet Research Systems 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 Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FactSet Research Systems. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment.
At this time, FactSet Research's Selling General Administrative is comparatively stable compared to the past year. Sales General And Administrative To Revenue is likely to gain to 0.37 in 2024, whereas Enterprise Value Over EBITDA is likely to drop 22.72 in 2024.
 2021 2022 2023 2024 (projected)
Gross Profit972.8M1.1B1.3B1.3B
Total Revenue1.8B2.1B2.4B2.5B

FactSet Research fundamental ratios Correlations

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0.860.90.880.630.770.590.920.70.840.870.720.94-0.650.820.80.50.840.580.820.40.410.50.40.910.45
0.990.90.980.740.930.730.990.780.980.950.790.98-0.430.970.910.460.980.640.890.260.260.30.50.960.52
0.980.880.980.710.90.760.960.750.970.950.760.95-0.420.930.860.430.940.640.850.30.310.170.50.910.4
0.720.630.740.710.560.40.770.970.640.650.970.69-0.380.690.760.50.70.940.940.060.070.30.720.740.43
0.960.770.930.90.560.670.910.590.980.90.610.9-0.210.980.890.420.980.40.740.090.10.210.370.890.54
0.710.590.730.760.40.670.680.430.730.620.450.72-0.460.660.53-0.250.670.360.540.660.660.00.230.670.36
0.980.920.990.960.770.910.680.80.960.950.820.99-0.450.960.890.490.970.690.910.240.240.420.530.990.55
0.750.70.780.750.970.590.430.80.680.681.00.73-0.460.730.820.520.740.890.970.120.120.370.610.780.47
0.990.840.980.970.640.980.730.960.680.950.690.95-0.320.980.890.440.990.520.810.190.20.210.440.930.49
0.950.870.950.950.650.90.620.950.680.950.690.95-0.280.920.790.550.930.630.790.120.130.270.510.910.44
0.770.720.790.760.970.610.450.821.00.690.690.74-0.480.740.830.510.750.890.980.140.140.390.590.80.49
0.960.940.980.950.690.90.720.990.730.950.950.74-0.510.940.850.420.950.620.860.330.340.440.50.980.53
-0.36-0.65-0.43-0.42-0.38-0.21-0.46-0.45-0.46-0.32-0.28-0.48-0.51-0.3-0.40.0-0.32-0.35-0.51-0.81-0.81-0.53-0.24-0.5-0.15
0.990.820.970.930.690.980.660.960.730.980.920.740.94-0.30.940.481.00.540.850.110.120.290.450.940.57
0.920.80.910.860.760.890.530.890.820.890.790.830.85-0.40.940.550.940.550.90.110.110.330.420.880.56
0.470.50.460.430.50.42-0.250.490.520.440.550.510.420.00.480.550.480.440.52-0.46-0.460.280.420.430.11
0.990.840.980.940.70.980.670.970.740.990.930.750.95-0.321.00.940.480.560.860.140.140.30.460.950.57
0.60.580.640.640.940.40.360.690.890.520.630.890.62-0.350.540.550.440.560.840.090.090.30.750.650.32
0.870.820.890.850.940.740.540.910.970.810.790.980.86-0.510.850.90.520.860.840.190.20.430.60.890.53
0.20.40.260.30.060.090.660.240.120.190.120.140.33-0.810.110.11-0.460.140.090.191.00.150.040.27-0.07
0.210.410.260.310.070.10.660.240.120.20.130.140.34-0.810.120.11-0.460.140.090.21.00.150.050.28-0.07
0.250.50.30.170.30.210.00.420.370.210.270.390.44-0.530.290.330.280.30.30.430.150.150.170.520.52
0.480.40.50.50.720.370.230.530.610.440.510.590.5-0.240.450.420.420.460.750.60.040.050.170.49-0.07
0.950.910.960.910.740.890.670.990.780.930.910.80.98-0.50.940.880.430.950.650.890.270.280.520.490.62
0.510.450.520.40.430.540.360.550.470.490.440.490.53-0.150.570.560.110.570.320.53-0.07-0.070.52-0.070.62
Click cells to compare fundamentals

FactSet Research Account Relationship Matchups

FactSet Research fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets2.1B2.2B4.0B3.9B4.5B4.8B
Other Current Liab111.2M135.2M148.7M165.2M190.0M199.5M
Total Current Liabilities276.3M315.7M438.3M467.3M537.4M564.3M
Total Stockholder Equity898.2M1.0B1.3B1.6B1.9B2.0B
Property Plant And Equipment Net382.0M370.4M240.3M227.9M262.1M275.2M
Net Debt290.1M184.4M1.7B1.4B1.6B1.7B
Retained Earnings633.1M912.5M1.2B1.5B1.7B1.8B
Accounts Payable82.1M85.8M108.4M120.8M138.9M145.9M
Cash585.6M681.9M503.3M425.4M489.3M513.7M
Non Current Assets Total1.2B1.3B3.1B3.2B3.7B3.9B
Non Currrent Assets Other28.6M29.5M37.0M69.2M79.6M83.6M
Cash And Short Term Investments605.2M717.8M536.5M457.7M526.3M552.6M
Net Receivables155.0M151.2M204.1M237.7M273.3M287.0M
Common Stock Shares Outstanding38.6M38.6M38.7M38.9M35.0M47.5M
Liabilities And Stockholders Equity2.1B2.2B4.0B3.9B4.5B4.8B
Non Current Liabilities Total908.9M890.8M2.2B1.9B2.1B2.2B
Other Current Assets43.7M50.6M91.2M55.1M63.3M66.5M
Other Stockholder Equity303.9M142.4M259.6M202.2M232.5M244.2M
Total Liab1.2B1.2B2.7B2.3B2.7B2.8B
Property Plant And Equipment Gross382.0M370.4M80.8M227.9M262.1M275.2M
Total Current Assets841.9M933.6M870.3M750.4M862.9M906.1M
Accumulated Other Comprehensive Income(39.3M)(39.0M)(108.4M)(87.1M)(78.4M)(74.5M)
Common Stock Total Equity401K408K412K417K479.6K500.5K
Common Stock408K412K417K421K484.2K499.0K
Other Liab60.3M56.1M53.6M49.4M56.8M36.6M
Other Assets277.6M29.5M41.9M102.4M117.8M123.6M
Good Will709.7M754.4M965.8M1.0B1.2B1.2B
Short Term Investments19.6M36.0M33.2M32.2M29.0M24.2M
Treasury Stock(213.4M)(433.8M)(637.0M)(905.9M)(815.3M)(774.6M)
Intangible Assets121.1M135.0M1.9B1.9B2.1B2.2B
Property Plant Equipment133.1M370.4M240.3M227.9M262.1M275.2M
Inventory38.1M13.9M38.5M(3.1M)(3.6M)(3.4M)
Short Long Term Debt Total875.7M866.2M2.2B1.8B2.1B2.2B
Current Deferred Revenue54.0M63.1M152.0M152.4M175.3M184.1M
Short Term Debt29.1M31.6M29.2M28.8M33.2M36.7M
Net Tangible Assets896.4M127.0M(1.5B)(1.2B)(1.1B)(1.1B)
Long Term Debt574.4M574.7M2.0B1.6B1.9B1.9B
Retained Earnings Total Equity373.2M633.1M912.5M1.2B1.4B917.4M
Capital Surpluse939.1M1.0B1.2B1.3B1.5B777.9M
Deferred Long Term Liab16.4M19.7M14.8M8.8M10.1M11.8M

Pair Trading with FactSet Research

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 FactSet Research 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 FactSet Research will appreciate offsetting losses from the drop in the long position's value.

Moving together with FactSet Stock

  0.61VALU Value Line Normal TradingPairCorr
  0.72CME CME GroupPairCorr
  0.66ICE Intercontinental ExchangePairCorr

Moving against FactSet Stock

  0.63DB Deutsche Bank AGPairCorr
  0.52C Citigroup Financial Report 12th of July 2024 PairCorr
  0.45GS Goldman Sachs Group Financial Report 17th of July 2024 PairCorr
The ability to find closely correlated positions to FactSet Research could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FactSet Research 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 FactSet Research - 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 FactSet Research Systems to buy it.
The correlation of FactSet Research 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 FactSet Research moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FactSet Research Systems 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 FactSet Research 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.
Pair CorrelationCorrelation Matching
When determining whether FactSet Research Systems is a strong investment it is important to analyze FactSet Research's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact FactSet Research's future performance. For an informed investment choice regarding FactSet Stock, refer to the following important reports:
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FactSet Research Systems. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment.
Note that the FactSet Research Systems information on this page should be used as a complementary analysis to other FactSet Research's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.

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When running FactSet Research's price analysis, check to measure FactSet Research'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 FactSet Research is operating at the current time. Most of FactSet Research's value examination focuses on studying past and present price action to predict the probability of FactSet Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FactSet Research's price. Additionally, you may evaluate how the addition of FactSet Research to your portfolios can decrease your overall portfolio volatility.
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Is FactSet Research's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of FactSet Research. If investors know FactSet will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about FactSet Research listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.08
Dividend Share
3.92
Earnings Share
12.65
Revenue Per Share
56.495
Quarterly Revenue Growth
0.06
The market value of FactSet Research Systems is measured differently than its book value, which is the value of FactSet that is recorded on the company's balance sheet. Investors also form their own opinion of FactSet Research's value that differs from its market value or its book value, called intrinsic value, which is FactSet Research's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because FactSet Research's market value can be influenced by many factors that don't directly affect FactSet Research's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between FactSet Research's value and its price as these two are different measures arrived at by different means. Investors typically determine if FactSet Research is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FactSet Research's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.