Graphjet Technology: financing cash flow
Financing cash flow for Graphjet Technology. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Graphjet Technology financial histories
What this measure means
Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.
Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. 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 2022-10-01 to 2025-09-30. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-10-01 | 2025-09-30 | 2,310,031 | USD | 2025-12-23 | 10-K · 0001213900-25-125488 |
| 2023-10-01 | 2024-09-30 | 4,706,973 | USD | 2025-12-23 | 10-K · 0001213900-25-125488 |
| 2023-01-01 | 2023-12-31 | -6,251,273 | USD | 2024-04-22 | 10-K · 0001493152-24-015564 |
| 2022-10-01 | 2023-09-30 | -700,810 | USD | 2025-07-15 | 10-K · 0001213900-25-063924 |
Related financial histories
- Graphjet Technology: total assets
- Graphjet Technology: total liabilities
- Graphjet Technology: stockholders equity
- Graphjet Technology: cash and cash equivalents
- Graphjet Technology: net income or loss
- Graphjet Technology: operating cash flow
- Graphjet Technology: capital expenditure payments
- Graphjet Technology: investing cash flow
- Graphjet Technology: retained earnings or deficit
- Graphjet Technology: basic weighted-average shares
- Graphjet Technology: diluted weighted-average shares
- Graphjet Technology: basic earnings per share
- Graphjet Technology: diluted earnings per share
- Graphjet Technology: net property, plant and equipment
- Graphjet Technology: operating income or loss
- Graphjet Technology: current assets
- Graphjet Technology: interest expense
- Graphjet Technology: current liabilities
- Graphjet Technology: net finite-lived intangible assets
- Graphjet Technology: operating expenses
Inspect the source
- Entity
- Graphjet Technology / CIK 0001879373
- Captured
- 2026-09-21T17:34:47.095Z
- SEC response SHA-256
1669a91dff589ee852acd14910e2c48fc3c12ab16d25414a43bb4f6417c55501
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/0001879373.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"])))