EShallGo Inc.: share-based compensation expense
Share-based compensation expense for EShallGo Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All EShallGo Inc. financial histories
What this measure means
Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.
Exact concept: us-gaap:ShareBasedCompensation. 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 2023-04-01 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 |
|---|---|---|---|---|---|
| 2025-04-01 | 2026-03-31 | 1,493,208 | USD | 2026-07-31 | 20-F · 0001185185-26-003210 |
| 2024-04-01 | 2025-03-31 | 2,672,450 | USD | 2026-07-31 | 20-F · 0001185185-26-003210 |
| 2023-04-01 | 2024-03-31 | 0 | USD | 2026-07-31 | 20-F · 0001185185-26-003210 |
Related financial histories
- EShallGo Inc.: total assets
- EShallGo Inc.: total liabilities
- EShallGo Inc.: stockholders equity
- EShallGo Inc.: cash and cash equivalents
- EShallGo Inc.: net income or loss
- EShallGo Inc.: operating cash flow
- EShallGo Inc.: capital expenditure payments
- EShallGo Inc.: revenue
- EShallGo Inc.: contract revenue excluding tax
- EShallGo Inc.: financing cash flow
- EShallGo Inc.: investing cash flow
- EShallGo Inc.: retained earnings or deficit
- EShallGo Inc.: basic weighted-average shares
- EShallGo Inc.: diluted weighted-average shares
- EShallGo Inc.: basic earnings per share
- EShallGo Inc.: diluted earnings per share
- EShallGo Inc.: income tax expense or benefit
- EShallGo Inc.: net property, plant and equipment
- EShallGo Inc.: operating income or loss
- EShallGo Inc.: current assets
- EShallGo Inc.: current liabilities
- EShallGo Inc.: operating expenses
- EShallGo Inc.: net inventory
- EShallGo Inc.: gross profit
- EShallGo Inc.: cost of revenue
- EShallGo Inc.: research and development expense
Inspect the source
- Entity
- EShallGo Inc. / CIK 0001879754
- Captured
- 2026-09-21T17:34:48.893Z
- SEC response SHA-256
225f8cda63c73e284b61d51d782523cbcde3a30b9c1568e5cc84a05bc56dfee6
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
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001879754.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"])))