L3HARRIS TECHNOLOGIES, INC.: net finite-lived intangible assets

What this measure means

Finite-lived intangible assets after amortization. This excludes goodwill and should not be combined with indefinite-lived intangible assets without checking scope.

Exact concept: us-gaap:FiniteLivedIntangibleAssetsNet. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-07-03 to 2026-01-02. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• L3HARRIS TECHNOLOGIES, INC.: total assets
• L3HARRIS TECHNOLOGIES, INC.: total liabilities
• L3HARRIS TECHNOLOGIES, INC.: stockholders equity
• L3HARRIS TECHNOLOGIES, INC.: cash and cash equivalents
• L3HARRIS TECHNOLOGIES, INC.: net income or loss
• L3HARRIS TECHNOLOGIES, INC.: operating cash flow
• L3HARRIS TECHNOLOGIES, INC.: capital expenditure payments
• L3HARRIS TECHNOLOGIES, INC.: revenue
• L3HARRIS TECHNOLOGIES, INC.: contract revenue excluding tax
• L3HARRIS TECHNOLOGIES, INC.: financing cash flow
• L3HARRIS TECHNOLOGIES, INC.: investing cash flow
• L3HARRIS TECHNOLOGIES, INC.: retained earnings or deficit
• L3HARRIS TECHNOLOGIES, INC.: basic weighted-average shares
• L3HARRIS TECHNOLOGIES, INC.: diluted weighted-average shares
• L3HARRIS TECHNOLOGIES, INC.: basic earnings per share
• L3HARRIS TECHNOLOGIES, INC.: diluted earnings per share
• L3HARRIS TECHNOLOGIES, INC.: income tax expense or benefit
• L3HARRIS TECHNOLOGIES, INC.: net property, plant and equipment
• L3HARRIS TECHNOLOGIES, INC.: share-based compensation expense
• L3HARRIS TECHNOLOGIES, INC.: operating income or loss
• L3HARRIS TECHNOLOGIES, INC.: current assets
• L3HARRIS TECHNOLOGIES, INC.: interest expense
• L3HARRIS TECHNOLOGIES, INC.: current liabilities
• L3HARRIS TECHNOLOGIES, INC.: current accounts payable
• L3HARRIS TECHNOLOGIES, INC.: goodwill carrying amount
• L3HARRIS TECHNOLOGIES, INC.: net current accounts receivable
• L3HARRIS TECHNOLOGIES, INC.: common-stock repurchase payments
• L3HARRIS TECHNOLOGIES, INC.: operating expenses
• L3HARRIS TECHNOLOGIES, INC.: net inventory
• L3HARRIS TECHNOLOGIES, INC.: selling, general and administrative expense

Inspect the source

Entity

L3HARRIS TECHNOLOGIES, INC. / CIK 0000202058

Captured

2026-09-19T14:55:15.525Z

SEC response SHA-256

42fd17c34242f68b8fcd3bed7c20bd186d8d39249e8e4d915414899a805ec753

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/0000202058.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"])))