Note: First TO Finish Kim & Mike Viano Sports's revenues are gauged from an analysis of company filings.
First TO Finish Kim & Mike Viano Sports's Income Statement (based on Industry Averages)
First TO Finish Kim & Mike Viano Sports P&L
$ Millions
Revenue (Sales)
Cost of Goods Sold
Gross Profit
Operating Expenses
Advertising
Salaries and wages
Other Operating Expenses
Total Operating Expenses
Operating Income
EBITDA
EBIT (Earnings Before Interest and Taxes)
Net Profit
Trademark Applications
Trademark applications show the products and services that First TO Finish Kim & Mike Viano Sports is developing and marketing.
First TO Finish Kim & Mike Viano Sports doesn't have any recent trademark applications, indicating First TO Finish Kim & Mike Viano Sports is focusing on
its existing business rather than expanding into new products and markets.
Trademarks may include brand names, product names, logos and slogans.
Trademark
Date
TEAM MARKETPLACE mail order catalog services featuring sports apparel
03/18/2008
NORDITALIA track and field uniforms
05/01/2007
See all trademarks and details in the Full Report.
Market Share of First TO Finish Kim & Mike Viano Sports's Largest Competitors
A competitive analysis shows these companies are in the same general field as First TO Finish Kim & Mike Viano Sports, even though they may not compete head-to-head.
These are the largest companies by revenue. However, they may not have the largest market share in this industry if they have diversified into other business lines.
The "Competition" section of a business plan or investment memorandum would start by analyzing the information about these companies.
Competitive advantage comes from offering better pricing or superior products/service.
Future Competition: First TO Finish Kim & Mike Viano Sports's Fastest Growing Competitors
These companies are in the same general field as First TO Finish Kim & Mike Viano Sports and are rapidly expanding. Companies may grow organically or through acquisition. In some cases apparently high growth rates may be caused by data that weren't available in previous years.