DELUXE CORPORATION: 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 2008-01-01 to 2024-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

DELUXE CORPORATION / CIK 0000027996

Captured

2026-09-19T14:45:52.261Z

SEC response SHA-256

c44437aab6b2b7133fb0e5c25ab3e10f9f915df58aa3ae4209ed775c3b317b00

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/0000027996.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"])))