HEICO CORPORATION: operating income or loss

What this measure means

Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.

Exact concept: us-gaap:OperatingIncomeLoss. 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 2007-11-01 to 2025-10-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

HEICO CORPORATION / CIK 0000046619

Captured

2026-09-19T14:47:47.623Z

SEC response SHA-256

f53d02b5bb9c5f772148131851b783035a428b3bfab8d1e989c611cbd0054c6e

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/0000046619.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"])))