Webull Corporation: 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 2023-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• Webull Corporation: total assets
• Webull Corporation: total liabilities
• Webull Corporation: stockholders equity
• Webull Corporation: cash and cash equivalents
• Webull Corporation: net income or loss
• Webull Corporation: operating cash flow
• Webull Corporation: capital expenditure payments
• Webull Corporation: financing cash flow
• Webull Corporation: investing cash flow
• Webull Corporation: retained earnings or deficit
• Webull Corporation: basic weighted-average shares
• Webull Corporation: diluted weighted-average shares
• Webull Corporation: basic earnings per share
• Webull Corporation: diluted earnings per share
• Webull Corporation: income tax expense or benefit
• Webull Corporation: net property, plant and equipment
• Webull Corporation: share-based compensation expense
• Webull Corporation: current assets
• Webull Corporation: current liabilities
• Webull Corporation: current accounts payable
• Webull Corporation: goodwill carrying amount
• Webull Corporation: net current accounts receivable
• Webull Corporation: operating expenses
• Webull Corporation: research and development expense

Inspect the source

Entity

Webull Corporation / CIK 0001866364

Captured

2026-09-21T17:32:12.949Z

SEC response SHA-256

d719daada14d23a0b63e8be4a4ea1b43ae96f3afd31265d915da937894bca56b

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/0001866364.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"])))