I started with wide moat ratings of morningstar and selected 10 companies randomly as below
Asian Paints Bajaj Auto Colgate India Dabur Cummins HUL Infosys ITC Nestle Lupin
Then I collected 10 year data on above companies from 2005 to 2014, collecting 10 year data will ensure that you can avoid sampling errors although I want to clearly point that selecting 10 companies and trying to interpret patterns in itself will have sampling errors
If you have gone through our previous posts on competitive analysis , ROE dissection or Earnings framework you know I like to understand a concept through key metrics and examples , I have selected 3 important metrics and plotted on how have they performed for 10 companies in last 10 years
Lets take them one by one
Understand this first you get rated as improved if a particular company is able to beat its own average over last 10 years in year 2014. So if year 2014 was extremely bad/good year for the company than data interpretation below could be erroneous
Gross Margin – My reason to select – this indicates pricing power
8 out 10 companies were able to improve their gross margins
Cash … Read the rest