LANDSTAR SYSTEM, INC.: capital expenditure payments

What this measure means

Cash payments to acquire property, plant and equipment. This taxonomy concept does not capture every form of investment or acquisition.

Exact concept: us-gaap:PaymentsToAcquirePropertyPlantAndEquipment. 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 2007-12-30 to 2025-12-27. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

LANDSTAR SYSTEM, INC. / CIK 0000853816

Captured

2026-09-19T15:10:17.028Z

SEC response SHA-256

690ec193d9a3c628c25609e41316f047a9f5309d6ff837b31ccc36ec1c346ef7

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/0000853816.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"])))