ZOOZ Strategy Ltd.: net inventory
Net inventory for ZOOZ Strategy Ltd. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All ZOOZ Strategy Ltd. financial histories
What this measure means
Inventory carrying amount after applicable valuation and LIFO reserves. It does not establish realizable selling proceeds or inventory turnover without other inputs.
Exact concept: us-gaap:InventoryNet. 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 | 2,320,000 | USD | 2026-03-27 | 20-F · 0001493152-26-013109 |
| At date | 2023-12-31 | 2,848,000 | USD | 2025-03-07 | 20-F · 0001493152-25-009478 |
| At date | 2022-12-31 | 1,767,000 | USD | 2024-04-30 | 20-F · 0001493152-24-017287 |
Related financial histories
- ZOOZ Strategy Ltd.: total assets
- ZOOZ Strategy Ltd.: total liabilities
- ZOOZ Strategy Ltd.: stockholders equity
- ZOOZ Strategy Ltd.: net income or loss
- ZOOZ Strategy Ltd.: operating cash flow
- ZOOZ Strategy Ltd.: capital expenditure payments
- ZOOZ Strategy Ltd.: revenue
- ZOOZ Strategy Ltd.: contract revenue excluding tax
- ZOOZ Strategy Ltd.: financing cash flow
- ZOOZ Strategy Ltd.: investing cash flow
- ZOOZ Strategy Ltd.: retained earnings or deficit
- ZOOZ Strategy Ltd.: basic weighted-average shares
- ZOOZ Strategy Ltd.: diluted weighted-average shares
- ZOOZ Strategy Ltd.: basic earnings per share
- ZOOZ Strategy Ltd.: diluted earnings per share
- ZOOZ Strategy Ltd.: net property, plant and equipment
- ZOOZ Strategy Ltd.: share-based compensation expense
- ZOOZ Strategy Ltd.: operating income or loss
- ZOOZ Strategy Ltd.: current assets
- ZOOZ Strategy Ltd.: current liabilities
- ZOOZ Strategy Ltd.: current accounts payable
- ZOOZ Strategy Ltd.: gross profit
- ZOOZ Strategy Ltd.: cost of revenue
- ZOOZ Strategy Ltd.: research and development expense
Inspect the source
- Entity
- ZOOZ Strategy Ltd. / CIK 0001992818
- Captured
- 2026-09-21T17:39:41.556Z
- SEC response SHA-256
dc37eb066d5ae21b6fe6b405d3bdf97f64457db0acda2f13bfcd834a826bdc39
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/0001992818.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"])))