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.
No comments:
Post a Comment