AMTD Digital Inc.: operating cash flow
Operating cash flow for AMTD Digital Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All AMTD Digital Inc. financial histories
What this measure means
Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.
Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2020-05-01 to 2025-10-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-11-01 | 2025-10-31 | 14,388,000 | USD | 2026-02-27 | 20-F · 0001213900-26-021555 |
| 2023-11-01 | 2024-10-31 | 4,245,000 | USD | 2026-02-27 | 20-F · 0001213900-26-021555 |
| 2022-05-01 | 2023-04-30 | 15,501,000 | USD | 2026-02-27 | 20-F · 0001213900-26-021555 |
| 2021-05-01 | 2022-04-30 | 10,250,000 | USD | 2025-02-28 | 20-F · 0001213900-25-018782 |
| 2020-05-01 | 2021-04-30 | 10,690,000 | USD | 2025-02-18 | 20-F/A · 0001213900-25-014872 |
Related financial histories
- AMTD Digital Inc.: total assets
- AMTD Digital Inc.: total liabilities
- AMTD Digital Inc.: stockholders equity
- AMTD Digital Inc.: cash and cash equivalents
- AMTD Digital Inc.: net income or loss
- AMTD Digital Inc.: capital expenditure payments
- AMTD Digital Inc.: revenue
- AMTD Digital Inc.: financing cash flow
- AMTD Digital Inc.: investing cash flow
- AMTD Digital Inc.: basic weighted-average shares
- AMTD Digital Inc.: diluted weighted-average shares
- AMTD Digital Inc.: basic earnings per share
- AMTD Digital Inc.: diluted earnings per share
- AMTD Digital Inc.: income tax expense or benefit
- AMTD Digital Inc.: net property, plant and equipment
- AMTD Digital Inc.: share-based compensation expense
- AMTD Digital Inc.: operating income or loss
- AMTD Digital Inc.: current assets
- AMTD Digital Inc.: current liabilities
- AMTD Digital Inc.: current accounts payable
- AMTD Digital Inc.: net finite-lived intangible assets
- AMTD Digital Inc.: net current accounts receivable
Inspect the source
- Entity
- AMTD Digital Inc. / CIK 0001809691
- Captured
- 2026-09-21T17:28:14.414Z
- SEC response SHA-256
680526d2f6e59847c693045ea98ace7af539345d7e6867f48479fa03d3cc6eb0
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/0001809691.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"])))