1 800 FLOWERS COM 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 2009-06-29 to 2026-06-28. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• 1 800 FLOWERS COM INC: total assets
• 1 800 FLOWERS COM INC: total liabilities
• 1 800 FLOWERS COM INC: stockholders equity
• 1 800 FLOWERS COM INC: cash and cash equivalents
• 1 800 FLOWERS COM INC: net income or loss
• 1 800 FLOWERS COM INC: operating cash flow
• 1 800 FLOWERS COM INC: capital expenditure payments
• 1 800 FLOWERS COM INC: revenue
• 1 800 FLOWERS COM INC: contract revenue excluding tax
• 1 800 FLOWERS COM INC: financing cash flow
• 1 800 FLOWERS COM INC: investing cash flow
• 1 800 FLOWERS COM INC: retained earnings or deficit
• 1 800 FLOWERS COM INC: basic weighted-average shares
• 1 800 FLOWERS COM INC: diluted weighted-average shares
• 1 800 FLOWERS COM INC: basic earnings per share
• 1 800 FLOWERS COM INC: diluted earnings per share
• 1 800 FLOWERS COM INC: income tax expense or benefit
• 1 800 FLOWERS COM INC: net property, plant and equipment
• 1 800 FLOWERS COM INC: share-based compensation expense
• 1 800 FLOWERS COM INC: operating income or loss
• 1 800 FLOWERS COM INC: current assets
• 1 800 FLOWERS COM INC: current liabilities
• 1 800 FLOWERS COM INC: current accounts payable
• 1 800 FLOWERS COM INC: goodwill carrying amount
• 1 800 FLOWERS COM INC: net finite-lived intangible assets
• 1 800 FLOWERS COM INC: net current accounts receivable
• 1 800 FLOWERS COM INC: common-stock repurchase payments
• 1 800 FLOWERS COM INC: operating expenses
• 1 800 FLOWERS COM INC: net inventory

Inspect the source

Entity

1 800 FLOWERS COM INC / CIK 0001084869

Captured

2026-09-20T05:21:10.207Z

SEC response SHA-256

e791058f21b4bb817c160998a520a35fb10175aad3dd1522cf3c59a6a35cb60c

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/0001084869.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"])))