FIRST BUSEY CORPORATION: 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• FIRST BUSEY CORPORATION: total assets
• FIRST BUSEY CORPORATION: total liabilities
• FIRST BUSEY CORPORATION: stockholders equity
• FIRST BUSEY CORPORATION: cash and cash equivalents
• FIRST BUSEY CORPORATION: net income or loss
• FIRST BUSEY CORPORATION: operating cash flow
• FIRST BUSEY CORPORATION: revenue
• FIRST BUSEY CORPORATION: financing cash flow
• FIRST BUSEY CORPORATION: investing cash flow
• FIRST BUSEY CORPORATION: retained earnings or deficit
• FIRST BUSEY CORPORATION: basic weighted-average shares
• FIRST BUSEY CORPORATION: diluted weighted-average shares
• FIRST BUSEY CORPORATION: basic earnings per share
• FIRST BUSEY CORPORATION: diluted earnings per share
• FIRST BUSEY CORPORATION: income tax expense or benefit
• FIRST BUSEY CORPORATION: net property, plant and equipment
• FIRST BUSEY CORPORATION: share-based compensation expense
• FIRST BUSEY CORPORATION: interest expense
• FIRST BUSEY CORPORATION: goodwill carrying amount
• FIRST BUSEY CORPORATION: net finite-lived intangible assets
• FIRST BUSEY CORPORATION: common-stock repurchase payments

Inspect the source

Entity

FIRST BUSEY CORPORATION / CIK 0000314489

Captured

2026-09-19T14:56:10.801Z

SEC response SHA-256

723d90fde047cbe1628a796a123666b0ae5cb83eb315a3c804b594a9b0e049f0

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/0000314489.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"])))