Note: G Street Remnant Shop's revenues are gauged from an analysis of company filings.
G Street Remnant Shop's Income Statement (based on Industry Averages)
G Street Remnant Shop 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 G Street Remnant Shop is developing and marketing.
G Street Remnant Shop doesn't have any recent trademark applications, indicating G Street Remnant Shop 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
WE KNOW FABRIC Retail fabric store services
02/08/2000
G STREET FABRICS RETAIL FABRIC STORE SERVICES
10/29/1997
See all trademarks and details in the Full Report.
Market Share of G Street Remnant Shop's Largest Competitors
A competitive analysis shows these companies are in the same general field as G Street Remnant Shop, 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.
These companies are similar in business line and location to G Street Remnant Shop.
While some companies compete with neighboring businesses for customers, other companies may compete to attract skilled employees.
Future Competition: G Street Remnant Shop's Fastest Growing Competitors
These companies are in the same general field as G Street Remnant Shop 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.