Four Leaf Acquisition Corporation: current liabilities
Current liabilities for Four Leaf Acquisition Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Four Leaf Acquisition Corporation financial histories
What this measure means
Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.
Exact concept: us-gaap:LiabilitiesCurrent. 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 2024-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2024-12-31 | 3,626,322 | USD | 2025-04-30 | 10-K · 0001213900-25-037576 |
| At date | 2023-12-31 | 1,469,523 | USD | 2025-04-30 | 10-K · 0001213900-25-037576 |
| At date | 2022-12-31 | 698,036 | USD | 2024-04-01 | 10-K · 0001193125-24-083637 |
Related financial histories
- Four Leaf Acquisition Corporation: total assets
- Four Leaf Acquisition Corporation: total liabilities
- Four Leaf Acquisition Corporation: stockholders equity
- Four Leaf Acquisition Corporation: net income or loss
- Four Leaf Acquisition Corporation: operating cash flow
- Four Leaf Acquisition Corporation: financing cash flow
- Four Leaf Acquisition Corporation: investing cash flow
- Four Leaf Acquisition Corporation: retained earnings or deficit
- Four Leaf Acquisition Corporation: income tax expense or benefit
- Four Leaf Acquisition Corporation: operating income or loss
- Four Leaf Acquisition Corporation: current assets
Inspect the source
- Entity
- Four Leaf Acquisition Corporation / CIK 0001936255
- Captured
- 2026-09-21T17:24:28.785Z
- SEC response SHA-256
fb6a32fb476852354a428fd401ae4f10b6d3c2a9e00351730dec0b0541ab7b43
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/0001936255.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"])))