Cathay General Bancorp: net finite-lived intangible assets
Net finite-lived intangible assets for Cathay General Bancorp. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Cathay General Bancorp financial histories
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 2022-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | 2,000,000 | USD | 2026-03-02 | 10-K · 0001437749-26-006157 |
| At date | 2024-12-31 | 2,946,000 | USD | 2025-02-28 | 10-K · 0001437749-25-005749 |
| At date | 2023-12-31 | 4,044,000 | USD | 2024-02-29 | 10-K · 0001437749-24-005948 |
| At date | 2022-12-31 | 5,353,000 | USD | 2023-02-28 | 10-K · 0001437749-23-004952 |
Related financial histories
- Cathay General Bancorp: total assets
- Cathay General Bancorp: total liabilities
- Cathay General Bancorp: stockholders equity
- Cathay General Bancorp: cash and cash equivalents
- Cathay General Bancorp: net income or loss
- Cathay General Bancorp: operating cash flow
- Cathay General Bancorp: capital expenditure payments
- Cathay General Bancorp: financing cash flow
- Cathay General Bancorp: investing cash flow
- Cathay General Bancorp: retained earnings or deficit
- Cathay General Bancorp: basic weighted-average shares
- Cathay General Bancorp: diluted weighted-average shares
- Cathay General Bancorp: basic earnings per share
- Cathay General Bancorp: diluted earnings per share
- Cathay General Bancorp: income tax expense or benefit
- Cathay General Bancorp: net property, plant and equipment
- Cathay General Bancorp: share-based compensation expense
- Cathay General Bancorp: interest expense
- Cathay General Bancorp: goodwill carrying amount
- Cathay General Bancorp: common-stock repurchase payments
Inspect the source
- Entity
- Cathay General Bancorp / CIK 0000861842
- Captured
- 2026-09-19T15:10:50.785Z
- SEC response SHA-256
1a13dc8954d4baaac170c82788466e07a9884172b53cd3fbd9fe58161457e565
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
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000861842.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"])))