J-LONG GROUP LIMITED: net inventory
Net inventory for J-LONG GROUP LIMITED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All J-LONG GROUP LIMITED 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 2023-03-31 to 2025-03-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-03-31 | 3,066,276 | USD | 2025-07-28 | 20-F · 0001213900-25-068049 |
| At date | 2024-03-31 | 4,449,132 | USD | 2025-07-28 | 20-F · 0001213900-25-068049 |
| At date | 2023-03-31 | 5,785,616 | USD | 2025-05-20 | 20-F/A · 0001213900-25-045507 |
Related financial histories
- J-LONG GROUP LIMITED: total assets
- J-LONG GROUP LIMITED: total liabilities
- J-LONG GROUP LIMITED: stockholders equity
- J-LONG GROUP LIMITED: cash and cash equivalents
- J-LONG GROUP LIMITED: net income or loss
- J-LONG GROUP LIMITED: operating cash flow
- J-LONG GROUP LIMITED: capital expenditure payments
- J-LONG GROUP LIMITED: revenue
- J-LONG GROUP LIMITED: financing cash flow
- J-LONG GROUP LIMITED: investing cash flow
- J-LONG GROUP LIMITED: retained earnings or deficit
- J-LONG GROUP LIMITED: basic weighted-average shares
- J-LONG GROUP LIMITED: diluted weighted-average shares
- J-LONG GROUP LIMITED: basic earnings per share
- J-LONG GROUP LIMITED: diluted earnings per share
- J-LONG GROUP LIMITED: income tax expense or benefit
- J-LONG GROUP LIMITED: net property, plant and equipment
- J-LONG GROUP LIMITED: operating income or loss
- J-LONG GROUP LIMITED: current assets
- J-LONG GROUP LIMITED: current liabilities
- J-LONG GROUP LIMITED: current accounts payable
- J-LONG GROUP LIMITED: net current accounts receivable
- J-LONG GROUP LIMITED: operating expenses
- J-LONG GROUP LIMITED: gross profit
Inspect the source
- Entity
- J-LONG GROUP LIMITED / CIK 0001948436
- Captured
- 2026-09-21T17:37:48.599Z
- SEC response SHA-256
50d935fa102a0b857df2d00728953b63c9c38655dbd91dd1b9948c75d7f92b69
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/0001948436.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"])))