ZENTRUM HOLDINGS, Inc.: total liabilities
Total liabilities for ZENTRUM HOLDINGS, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All ZENTRUM HOLDINGS, Inc. 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 2019-12-31 to 2024-12-31. The SEC response was captured on 2026-09-21.
Reading these values
This selected numerical history matches Current liabilities for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2024-12-31 | 805,306 | USD | 2025-06-11 | 10-K/A · 0001599916-25-000077 |
| At date | 2023-12-31 | 743,647 | USD | 2025-06-11 | 10-K/A · 0001599916-25-000077 |
| At date | 2022-12-31 | 576,987 | USD | 2024-03-22 | 10-K · 0001599916-24-000089 |
| At date | 2021-12-31 | 489,448 | USD | 2023-03-17 | 10-K · 0001599916-23-000060 |
| At date | 2020-12-31 | 364,649 | USD | 2022-03-31 | 10-K · 0001599916-22-000100 |
| At date | 2019-12-31 | 16,170 | USD | 2021-04-02 | 10-K · 0001599916-21-000056 |
Related financial histories
- ZENTRUM HOLDINGS, Inc.: total assets
- ZENTRUM HOLDINGS, Inc.: stockholders equity
- ZENTRUM HOLDINGS, Inc.: cash and cash equivalents
- ZENTRUM HOLDINGS, Inc.: net income or loss
- ZENTRUM HOLDINGS, Inc.: operating cash flow
- ZENTRUM HOLDINGS, Inc.: revenue
- ZENTRUM HOLDINGS, Inc.: financing cash flow
- ZENTRUM HOLDINGS, Inc.: retained earnings or deficit
- ZENTRUM HOLDINGS, Inc.: current assets
- ZENTRUM HOLDINGS, Inc.: current liabilities
- ZENTRUM HOLDINGS, Inc.: operating expenses
- ZENTRUM HOLDINGS, Inc.: gross profit
- ZENTRUM HOLDINGS, Inc.: cost of revenue
Inspect the source
- Entity
- ZENTRUM HOLDINGS, Inc. / CIK 0001818152
- Captured
- 2026-09-21T17:28:38.387Z
- SEC response SHA-256
3a5c8c113a6e509148f5a91595e6652b8ade05e7ae900b2bcb5816eeea43939d
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/0001818152.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"])))