LEIFRAS Co., Ltd.: basic earnings per share
Basic earnings per share for LEIFRAS Co., Ltd. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All LEIFRAS Co., Ltd. financial histories
What this measure means
Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.
Exact concept: us-gaap:EarningsPerShareBasic. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2023-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.
Coverage by original unit
- JPY/shares: 2023-01-01 to 2025-12-31.
- USD/shares: 2025-01-01 to 2025-12-31.
These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 17.41 | JPY/shares | 2026-04-08 | 20-F · 0001829126-26-003281 |
| 2024-01-01 | 2024-12-31 | 16.81 | JPY/shares | 2026-04-08 | 20-F · 0001829126-26-003281 |
| 2023-01-01 | 2023-12-31 | 9.7 | JPY/shares | 2026-04-08 | 20-F · 0001829126-26-003281 |
| 2025-01-01 | 2025-12-31 | 0.11 | USD/shares | 2026-04-08 | 20-F · 0001829126-26-003281 |
Related financial histories
- LEIFRAS Co., Ltd.: stockholders equity
- LEIFRAS Co., Ltd.: net income or loss
- LEIFRAS Co., Ltd.: operating cash flow
- LEIFRAS Co., Ltd.: capital expenditure payments
- LEIFRAS Co., Ltd.: revenue
- LEIFRAS Co., Ltd.: financing cash flow
- LEIFRAS Co., Ltd.: investing cash flow
- LEIFRAS Co., Ltd.: basic weighted-average shares
- LEIFRAS Co., Ltd.: diluted weighted-average shares
- LEIFRAS Co., Ltd.: diluted earnings per share
- LEIFRAS Co., Ltd.: income tax expense or benefit
- LEIFRAS Co., Ltd.: share-based compensation expense
- LEIFRAS Co., Ltd.: operating income or loss
- LEIFRAS Co., Ltd.: interest expense
- LEIFRAS Co., Ltd.: gross profit
- LEIFRAS Co., Ltd.: cost of revenue
- LEIFRAS Co., Ltd.: selling, general and administrative expense
Inspect the source
- Entity
- LEIFRAS Co., Ltd. / CIK 0002030277
- Captured
- 2026-09-21T17:43:08.313Z
- SEC response SHA-256
d748c76506f9109058c7abdf6ffad1bc36bf7d1a831246204196658bf55d18ae
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/0002030277.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"])))