Public company intelligence preview
CULP INC
44 insider trades surfaced from the last year. This page shows only aggregate signals, not the underlying transactions, people, filings, filters, or AI workspace.
Snapshot
A narrow read on a much deeper workspace.
The preview gives search visitors enough signal to understand coverage. It does not expose transaction records, person-level profiles, filters, comparisons, or analyst workflows.
Insider compensation
Public aggregate: $826173.48 average total compensation across covered insiders.
Governance movement
Public aggregate: 2 governance events in the last year.
Institutional ownership
Public aggregate: 36 holders from the latest quarter.
Restricted sales and governance
Public counts, not the investigation layer.
The full product opens the underlying filings, insider context, historical holdings, comparison tools, and AI analysis.
Market context
Basic quote context for the preview.
Company note
Context before the data.
Company Overview
Culp, Inc. is a Consumer Cyclical company in the Textile Manufacturing industry that markets mattress fabrics and upholstery fabrics to bedding, residential furniture, commercial, and hospitality customers. The business is heavily tied to U.S. furniture and bedding manufacturing demand, with major customers including Serta-Simmons Bedding, La-Z-Boy, Ashley Furniture, Flexsteel, and Marriott-related businesses. Recent filings show the company has been in a restructuring phase, closing and consolidating facilities, shifting more production to strategic sourcing, and reducing corporate overhead to match softer demand. Fiscal 2025 and early fiscal 2026 results show sales pressure from weak consumer spending, subdued housing activity, tariff uncertainty, and weather-related disruption, though management expects the streamlined footprint to improve efficiency over time.
Executive Compensation Practices
For a company like Culp in the Consumer Cyclical sector, executive compensation is likely to be heavily influenced by revenue growth, gross margin, operating income, cash flow, and restructuring execution rather than simple top-line expansion alone. The filings suggest compensation outcomes would be especially sensitive to margin recovery, SG&A control, inventory management, and successful delivery of restructuring savings, since recent results were dominated by cost reductions, facility closures, and integration work. Lower incentive compensation was explicitly cited as one reason SG&A declined in fiscal 2025, which suggests variable pay may already be tied to financial performance and restructuring-related milestones. In the Textile Manufacturing industry, executives are also likely measured on working capital discipline, supply chain efficiency, and customer service reliability because raw materials, sourcing flexibility, and delivery performance materially affect profitability.
Insider Trading Considerations
Insider trading patterns at Culp may be influenced by the company’s cyclical exposure to housing, furniture demand, and consumer discretionary spending, which can create meaningful swings in results and make timing especially important. Because the business has been undergoing major restructuring and facility rationalization, insiders may have access to material nonpublic information about cost savings, plant closures, asset sales, and margin improvement that could affect trading behavior. The company’s exposure to tariffs, foreign exchange, China-related operations, and supply chain disruptions also means insiders may react to policy and macro news differently than peers in less globally integrated manufacturing businesses. Researchers should watch for trading around earnings releases, restructuring announcements, property sale updates, and signs of demand recovery in bedding and upholstery, as these are likely to be the most information-sensitive periods.
Unlock the full CULP insider intelligence workspace.
Move from public aggregate counts into transaction-level detail, people, filings, compensation history, ownership shifts, export tools, and AI-assisted analysis.