This report includes historical and forecasted market size, e-commerce, product lines, inventory turns, gross margin, profitability, financial ratios, BCG matrix, statistics by state, operating expense details, organizational composition, consolidation analysis, employee productivity, price inflation, pay bands for the top 20 industry jobs, segmentation by concentration, business size, franchise, and business structure, trend analysis and forecasts on companies, facilities, employees, payroll, and much more.
The report includes locations primarily engaged in selling a single or general line of new clothing accessories.
This report is based on extensive business surveys and econometrics. Professionals utilize this report for market sizing, benchmarking, strategic planning, due diligence, valuations, operational initiatives, sales & marketing strategies, understanding industry dynamics, evaluating opportunities, forecasting, trend analysis, streamlining, gap analysis, and other analyses.
Review the table of contents to see the data-rich insights, which leaders have come to depend on for their research, strategic, and benchmarking needs.
Below are a few of the hundreds of stats from the report:
INDUSTRY SIZE
- In 2023, total revenue was $12.3 billion
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SECTOR GROWTH
- Over the past 3 years, the sector has grown at an annual rate of 14.4%
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RETAILER GROWTH
- There are 3,361 companies in the industry
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E-COMMERCE SALES
- In 2024, e-commerce sales are forecasted to grow 12.7%
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SALES PER LOCATION
- In 2023, the average sales per location was $1.8 million
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- INFLATION & PRICING
- 2024 forecasted inflation is -1.9%
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PROFITABILITY & FINANCIAL BENCHMARKS
- Unprofitable companies averaged -7.7% in net loss as a % of revenues
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Table of Contents
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Methodology
The industry market research reports are based on annual business surveys submitted by companies in the industry covering extensive financial and operating topics such as revenue, costs, labor, profitability, capital, product lines, operations, locations, and wages.
The analysts utilize the historical data from the business surveys as a foundation for forecasts and apply the data to proprietary econometric models that adjust for macro, economic, cyclical, and industry trends and influences.
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