LOGPROSTYLE INC.: net inventory
Net inventory for LOGPROSTYLE INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All LOGPROSTYLE INC. 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 2024-03-31 to 2026-03-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2026-03-31 | 16,555,068,000 | JPY | 2026-07-13 | 20-F · 0001493152-26-032936 |
| At date | 2025-03-31 | 13,612,387,000 | JPY | 2026-07-13 | 20-F · 0001493152-26-032936 |
| At date | 2024-03-31 | 13,518,460,000 | JPY | 2025-07-07 | 20-F · 0001641172-25-017916 |
Related financial histories
- LOGPROSTYLE INC.: total assets
- LOGPROSTYLE INC.: total liabilities
- LOGPROSTYLE INC.: stockholders equity
- LOGPROSTYLE INC.: cash and cash equivalents
- LOGPROSTYLE INC.: net income or loss
- LOGPROSTYLE INC.: operating cash flow
- LOGPROSTYLE INC.: capital expenditure payments
- LOGPROSTYLE INC.: revenue
- LOGPROSTYLE INC.: contract revenue excluding tax
- LOGPROSTYLE INC.: financing cash flow
- LOGPROSTYLE INC.: investing cash flow
- LOGPROSTYLE INC.: retained earnings or deficit
- LOGPROSTYLE INC.: basic weighted-average shares
- LOGPROSTYLE INC.: diluted weighted-average shares
- LOGPROSTYLE INC.: basic earnings per share
- LOGPROSTYLE INC.: diluted earnings per share
- LOGPROSTYLE INC.: income tax expense or benefit
- LOGPROSTYLE INC.: net property, plant and equipment
- LOGPROSTYLE INC.: operating income or loss
- LOGPROSTYLE INC.: current assets
- LOGPROSTYLE INC.: current liabilities
- LOGPROSTYLE INC.: current accounts payable
- LOGPROSTYLE INC.: net current accounts receivable
- LOGPROSTYLE INC.: operating expenses
- LOGPROSTYLE INC.: gross profit
- LOGPROSTYLE INC.: cost of revenue
- LOGPROSTYLE INC.: selling, general and administrative expense
Inspect the source
- Entity
- LOGPROSTYLE INC. / CIK 0002040290
- Captured
- 2026-09-21T17:43:23.393Z
- SEC response SHA-256
1b8e7e26b1d65d44bbfc76aaadcfa354f53bd8a3fa6ecb58a293a33cb6f20ee2
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/0002040290.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"])))