NORTHANN CORP.: total liabilities
Total liabilities for NORTHANN CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All NORTHANN CORP. financial histories
What this measure means
Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.
Exact concept: us-gaap:Liabilities. 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 | 11,276,512 | USD | 2025-07-02 | 10-K/A · 0001575872-25-000444 |
| At date | 2023-12-31 | 13,036,098 | USD | 2025-07-02 | 10-K/A · 0001575872-25-000444 |
| At date | 2022-12-31 | 12,435,723 | USD | 2024-04-16 | 10-K · 0001575872-24-000353 |
Related financial histories
- NORTHANN CORP.: total assets
- NORTHANN CORP.: stockholders equity
- NORTHANN CORP.: net income or loss
- NORTHANN CORP.: operating cash flow
- NORTHANN CORP.: revenue
- NORTHANN CORP.: financing cash flow
- NORTHANN CORP.: investing cash flow
- NORTHANN CORP.: retained earnings or deficit
- NORTHANN CORP.: basic weighted-average shares
- NORTHANN CORP.: diluted weighted-average shares
- NORTHANN CORP.: basic earnings per share
- NORTHANN CORP.: diluted earnings per share
- NORTHANN CORP.: income tax expense or benefit
- NORTHANN CORP.: net property, plant and equipment
- NORTHANN CORP.: operating income or loss
- NORTHANN CORP.: current assets
- NORTHANN CORP.: current liabilities
- NORTHANN CORP.: net finite-lived intangible assets
- NORTHANN CORP.: net current accounts receivable
- NORTHANN CORP.: operating expenses
- NORTHANN CORP.: net inventory
- NORTHANN CORP.: gross profit
- NORTHANN CORP.: cost of revenue
- NORTHANN CORP.: research and development expense
Inspect the source
- Entity
- NORTHANN CORP. / CIK 0001923780
- Captured
- 2026-09-21T17:36:39.746Z
- SEC response SHA-256
211d3b058e6c5f46ba11ce079b494d6eaf236abd9589ed598b1f09d6bcc50e17
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/0001923780.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"])))