Tuesday, July 20, 2021

Financial Statistics for Large Chemical Companies – Part 2

In my last blog I presented a table with a few financial statistics for many large global chemical companies. Click here to read that blog.

In this follow-up blog, I present some correlations between those statistics in the previous blog. Correlations were computed using Excel’s CORREL function. I focused on those correlations between statistics that management might affect and the results of those effects on targeted financial improvements.

An increase in sales correlates with an increase in long-term debt (81% correlation) but long-term debt as a percentage of sales goes down (-10% correlation) as sales goes up.

An increase in long-term debt is correlated with a greater gross profit margin percentage (11% correlation).

Companies with higher sales show a greater gross profit margin percentage (2% correlation).

Also correlated with higher gross profit margin percentage is increased research & development expense (13%).

Net income as a percentage of sales correlates with an increase in gross profit margin percentage (31% correlation).

However, greater net income increase as percentage of sales does not correlate with greater research & development expense (-33% correlation) or long-term debt (-29%).

The following table shows those correlations between statistics (sales, long term debt, cost of sales, and research & development expense) that management might affect and the results of those effects on potentially targeted financial improvements:

 

sales

gpm%

2%

sales

net inc % sales

-33%

sales

r&d exp % sales

3%

sales

lt debt % sales

-10%

 

 

 

lt debt

gpm%

11%

lt debt

r&d exp % sales

8%

lt debt

lt debt % sales

44%

lt debt

net inc % sales

-29%

 

 

 

cos

gpm%

-12%

cos

r&d exp % sales

-1%

cos

lt debt % sales

-12%

cos

net inc % sales

-35%

 

 

 

r&d exp

gpm%

13%

r&d exp

r&d exp % sales

54%

r&d exp

lt debt % sales

-3%

r&d exp

net inc % sales

-33%


Such correlations, as the above, might be helpful in predicting company decisions on targeted financial measurements. 

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