DOVER Corp: 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 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

DOVER Corp / CIK 0000029905

Captured

2026-09-19T14:46:04.789Z

SEC response SHA-256

a91cc758b810966dc29303a97a401b26ab5a5467973cff6c8c61472536abdc4c

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/0000029905.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"])))