DESIGNER BRANDS INC.: gross profit

What this measure means

Revenue less the costs directly attributed to the goods or services sold. It precedes other operating expenses and is not net income.

Exact concept: us-gaap:GrossProfit. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-02-01 to 2026-01-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• DESIGNER BRANDS INC.: total assets
• DESIGNER BRANDS INC.: total liabilities
• DESIGNER BRANDS INC.: stockholders equity
• DESIGNER BRANDS INC.: cash and cash equivalents
• DESIGNER BRANDS INC.: net income or loss
• DESIGNER BRANDS INC.: operating cash flow
• DESIGNER BRANDS INC.: capital expenditure payments
• DESIGNER BRANDS INC.: revenue
• DESIGNER BRANDS INC.: financing cash flow
• DESIGNER BRANDS INC.: investing cash flow
• DESIGNER BRANDS INC.: retained earnings or deficit
• DESIGNER BRANDS INC.: basic weighted-average shares
• DESIGNER BRANDS INC.: diluted weighted-average shares
• DESIGNER BRANDS INC.: basic earnings per share
• DESIGNER BRANDS INC.: diluted earnings per share
• DESIGNER BRANDS INC.: income tax expense or benefit
• DESIGNER BRANDS INC.: net property, plant and equipment
• DESIGNER BRANDS INC.: share-based compensation expense
• DESIGNER BRANDS INC.: operating income or loss
• DESIGNER BRANDS INC.: current assets
• DESIGNER BRANDS INC.: interest expense
• DESIGNER BRANDS INC.: current liabilities
• DESIGNER BRANDS INC.: current accounts payable
• DESIGNER BRANDS INC.: goodwill carrying amount
• DESIGNER BRANDS INC.: net current accounts receivable
• DESIGNER BRANDS INC.: common-stock repurchase payments
• DESIGNER BRANDS INC.: net inventory
• DESIGNER BRANDS INC.: selling, general and administrative expense

Inspect the source

Entity

DESIGNER BRANDS INC. / CIK 0001319947

Captured

2026-09-20T07:52:05.091Z

SEC response SHA-256

da8150e5244d936eab68897187caff77b5167c0f97210409c8d2f0308a8fa5bc

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001319947.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))