Clean Textile Systems Revenue, Growth & Competitor Profile

DBA CLEAN CARE

Company Profile & Annual Report for Clean Textile Systems

Access the complete profile.

Clean Textile Systems Fast Facts

Revenue	$10 - $100 million    See Exact Annual Revenue
Employees	100 - 500Exact Company Size
Primary Industry	81233 Linen & Uniform Supply
Additional NAICS Codes	21232 Sand, Gravel, Clay & Ceramic Mining & Quarrying 81232 Drycleaners & Drycleaning Services 812331 Linen Supply
Address	40 51st St Pittsburgh, PA 15201

Note: Revenues for privately held companies are statistical evaluations.


Clean Textile Systems's Annual Report & Profile shows critical firmographic facts:

• What is the company's size? (Annual sales and employees)
  • Clean Textile Systems's annual revenues are $10 - $100 million (see exact revenue data)
• What industry is the company in?
  • Clean Textile Systems is classified as operating in the Linen & Uniform Supply industry, NAICS Code 81233.

Clean Textile Systems Annual Revenue and Growth Rate

Clean Textile Systems	Revenue Est. ($ Million)	Growth Rate (%)	# Employees
2025	$10 - $100 million Details in Premium Report
2024
2023
2021
2020
2019

1-Year Growth Rate: 3-Year Growth Rate (CAGR):

Note: Clean Textile Systems's revenues are gauged from an analysis of company filings.

Clean Textile Systems's Income Statement (based on Industry Averages)

Clean Textile Systems 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 Clean Textile Systems is developing and marketing. Clean Textile Systems doesn't have any recent trademark applications, indicating Clean Textile Systems 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
CLEANCARE Laundry services for linens in the health care, hospitality and restaurant industries	05/20/2005
CLEANCARE THE STANDARD OF CARE FOR LINEN laundry services for medical linens	09/19/1996
CLEAN laundry services for medical linens	02/25/1993

See all trademarks and details in the Full Report.

Market Share of Clean Textile Systems's Largest Competitors

A competitive analysis shows these companies are in the same general field as Clean Textile Systems, 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.

Company	Headquarters	Revenue ($ MM)
CINTAS	Mason, OH	100
UNIFIRST	Richmond, VA	47
IMAGE FIRST HOLDINGS	King Of Prussia, PA	8
ALSCO	Salt Lake City, UT	6
PRUDENTIAL OVERALL SUPPLY	Santa Ana, CA	4
EMERALD TEXTILES SERVICES SAN DIEGO	San Diego, CA	4
MISSION LINEN SUPPLY	Chino, CA	3
AMCP CLEAN ACQUISITION COMPANY LLC D/B/A PURESTAR LINEN GROUP	Las Vegas, NV	3
9W HALO OPCO	Oakbrook Terrace, IL	3

Nearby Competitors

These companies are similar in business line and location to Clean Textile Systems. While some companies compete with neighboring businesses for customers, other companies may compete to attract skilled employees.

Company	Headquarters	Revenue ($ MM)
CLEAN TEXTILE SYSTEMS	Pittsburgh, PA	100
LAUREL LINEN SERVICE	Pittsburgh, PA	9
IRON CITY DOCUMENT MANAGEMENT SERVI	Pittsburgh, PA	9
APRIL SHOWERS OF PITTSBURGH	Pittsburgh, PA	5
CBALJL	Pittsburgh, PA	3

Future Competition: Clean Textile Systems's Fastest Growing Competitors

These companies are in the same general field as Clean Textile Systems 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.

Company	Revenue ($ MM)