Chicago Rivet & Machine Co.: 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• Chicago Rivet & Machine Co.: total assets
• Chicago Rivet & Machine Co.: total liabilities
• Chicago Rivet & Machine Co.: stockholders equity
• Chicago Rivet & Machine Co.: cash and cash equivalents
• Chicago Rivet & Machine Co.: net income or loss
• Chicago Rivet & Machine Co.: operating cash flow
• Chicago Rivet & Machine Co.: capital expenditure payments
• Chicago Rivet & Machine Co.: revenue
• Chicago Rivet & Machine Co.: contract revenue excluding tax
• Chicago Rivet & Machine Co.: financing cash flow
• Chicago Rivet & Machine Co.: investing cash flow
• Chicago Rivet & Machine Co.: retained earnings or deficit
• Chicago Rivet & Machine Co.: income tax expense or benefit
• Chicago Rivet & Machine Co.: net property, plant and equipment
• Chicago Rivet & Machine Co.: operating income or loss
• Chicago Rivet & Machine Co.: current assets
• Chicago Rivet & Machine Co.: current liabilities
• Chicago Rivet & Machine Co.: current accounts payable
• Chicago Rivet & Machine Co.: net current accounts receivable
• Chicago Rivet & Machine Co.: operating expenses
• Chicago Rivet & Machine Co.: net inventory
• Chicago Rivet & Machine Co.: cost of revenue
• Chicago Rivet & Machine Co.: selling, general and administrative expense

Inspect the source

Entity

Chicago Rivet & Machine Co. / CIK 0000019871

Captured

2026-09-19T11:13:10.329Z

SEC response SHA-256

2d857435ffe069478f604518e98478d15386575735d26a88d9eead87994424f9

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/0000019871.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"])))