Distribution Short Term Debt vs Common Stock Analysis

DSGR Stock  USD 39.20  0.10  0.26%   
Distribution Solutions financial indicator trend analysis is much more than just examining Distribution Solutions latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Distribution Solutions is a good investment. Please check the relationship between Distribution Solutions Short Term Debt and its Common Stock accounts. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Distribution Solutions Group. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in price.

Short Term Debt vs Common Stock

Short Term Debt vs Common Stock Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Distribution Solutions Short Term Debt account and Common Stock. At this time, the significance of the direction appears to have fragmental relationship.
The correlation between Distribution Solutions' Short Term Debt and Common Stock is 0.41. Overlapping area represents the amount of variation of Short Term Debt that can explain the historical movement of Common Stock in the same time period over historical financial statements of Distribution Solutions Group, assuming nothing else is changed. The correlation between historical values of Distribution Solutions' Short Term Debt and Common Stock 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 Distribution Solutions Group are associated (or correlated) with its Common Stock. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Common Stock has no effect on the direction of Short Term Debt i.e., Distribution Solutions' Short Term Debt and Common Stock go up and down completely randomly.

Correlation Coefficient

0.41
Relationship DirectionPositive 
Relationship StrengthWeak

Short Term Debt

Common Stock

Most indicators from Distribution Solutions' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Distribution Solutions 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 Distribution Solutions Group. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in price.
At this time, Distribution Solutions' Tax Provision is relatively stable compared to the past year. As of 11/28/2024, Enterprise Value is likely to grow to about 2.1 B, while Selling General Administrative is likely to drop slightly above 570 K.
 2021 2022 2023 2024 (projected)
Interest Expense869K24.3M42.8M44.9M
Depreciation And Amortization18.7M45.2M63.6M66.8M

Distribution Solutions fundamental ratios Correlations

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1.00.960.990.98-0.870.871.00.980.870.980.941.00.990.960.981.00.970.990.740.960.990.99-0.160.990.94
-0.83-0.77-0.81-0.86-0.87-0.71-0.83-0.86-0.71-0.79-0.72-0.86-0.84-0.77-0.82-0.84-0.84-0.83-0.43-0.73-0.83-0.850.14-0.83-0.79
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-0.17-0.27-0.16-0.2-0.160.140.06-0.170.00.06-0.21-0.05-0.15-0.22-0.14-0.16-0.18-0.18-0.17-0.13-0.22-0.14-0.06-0.14-0.09
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0.940.940.930.960.94-0.790.960.930.910.960.940.920.950.930.970.910.950.980.960.790.90.920.95-0.090.92
Click cells to compare fundamentals

Distribution Solutions Account Relationship Matchups

Distribution Solutions fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets204.4M256.3M256.2M1.2B1.6B1.6B
Total Current Liabilities56.9M98.0M72.2M169.5M242.0M254.1M
Total Stockholder Equity108.0M122.4M133.0M563.0M661.6M694.7M
Property Plant And Equipment Net27.8M24.6M32.9M138.3M214.7M225.5M
Net Debt10.1M(18.1M)23.0M437.4M565.1M593.4M
Retained Earnings86.5M101.6M111.0M(25.7M)(34.7M)(33.0M)
Cash5.5M28.4M4.2M24.6M83.9M88.1M
Non Current Assets Total98.0M113.2M123.4M737.4M893.0M937.7M
Non Currrent Assets Other277K332K346K22.9M24.4M25.6M
Cash And Short Term Investments5.5M28.4M4.2M24.6M83.9M88.1M
Net Receivables44.2M44.5M80.6M166.3M213.4M224.1M
Common Stock Shares Outstanding18.8M18.7M20.5M35.1M44.9M47.1M
Liabilities And Stockholders Equity204.4M256.3M256.2M1.2B1.6B1.6B
Non Current Liabilities Total39.5M35.9M50.9M483.1M646.7M679.1M
Inventory55.9M61.9M73.8M264.4M316.0M331.8M
Other Current Assets802K8.3M8.1M23.0M44.0M46.2M
Other Stockholder Equity12.3M10.8M187.0M579.3M654.7M687.5M
Total Liab96.4M133.9M123.2M652.6M888.7M933.2M
Property Plant And Equipment Gross27.8M24.6M32.9M138.3M272.8M286.4M
Total Current Assets106.4M143.1M132.8M478.2M657.3M690.2M
Accumulated Other Comprehensive Income(1K)699K544K(10.0M)(5.2M)(5.4M)
Other Current Liab38.7M66.6M23.3M44.8M80.9M84.9M
Accounts Payable13.8M22.3M48.0M80.5M98.7M103.6M
Good Will20.9M35.2M35.3M348.0M399.9M419.9M
Common Stock Total Equity9.2M9.3M9.4M19.4M22.3M23.4M
Intangible Assets12.3M18.5M16.2M228.0M253.8M266.5M
Common Stock9.2M9.3M9.4M19.4M46.8M49.1M
Other Liab27.7M30.1M28.2M47.5M42.7M27.9M
Other Assets37.0M43.8M39.0M10.1M1.00.95
Property Plant Equipment16.5M15.8M32.9M27.1M24.4M31.6M
Short Long Term Debt Total15.6M10.3M27.2M462.0M649.0M681.5M
Long Term Debt5.2M11.8M11.9M395.8M535.9M562.7M
Short Term Debt3.8M4.6M139.0M36.3M59.6M62.6M
Current Deferred Revenue648K822K800K2.3M810K769.5K
Treasury Stock(5.8M)(9.0M)(10.0M)(12.5M)(11.3M)(10.7M)
Net Tangible Assets74.7M68.7M81.5M(13.0M)(11.7M)(11.2M)
Retained Earnings Total Equity86.5M101.6M111.0M(25.7M)(23.2M)(22.0M)
Capital Surpluse18.1M19.8M22.1M591.8M680.6M714.6M
Deferred Long Term Liab12.6M13.3M13.6M10.0M11.5M11.8M

Pair Trading with Distribution Solutions

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 Distribution Solutions 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 Distribution Solutions will appreciate offsetting losses from the drop in the long position's value.

Moving together with Distribution Stock

  0.61FAST Fastenal Fiscal Year End 16th of January 2025 PairCorr

Moving against Distribution Stock

  0.42BA Boeing Fiscal Year End 29th of January 2025 PairCorr
The ability to find closely correlated positions to Distribution Solutions could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Distribution Solutions 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 Distribution Solutions - 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 Distribution Solutions Group to buy it.
The correlation of Distribution Solutions 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 Distribution Solutions moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Distribution Solutions 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 Distribution Solutions 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

Additional Tools for Distribution Stock Analysis

When running Distribution Solutions' price analysis, check to measure Distribution Solutions' 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 Distribution Solutions is operating at the current time. Most of Distribution Solutions' value examination focuses on studying past and present price action to predict the probability of Distribution Solutions' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Distribution Solutions' price. Additionally, you may evaluate how the addition of Distribution Solutions to your portfolios can decrease your overall portfolio volatility.