RICH SPARKLE HOLDINGS LIMITED: operating income or loss
Operating income or loss for RICH SPARKLE HOLDINGS LIMITED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All RICH SPARKLE HOLDINGS LIMITED financial histories
What this measure means
Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.
Exact concept: us-gaap:OperatingIncomeLoss. 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 | 97,141 | USD | 2026-02-06 | 20-F · 0001213900-26-013131 |
| 2023-10-01 | 2024-09-30 | 911,668 | USD | 2026-02-06 | 20-F · 0001213900-26-013131 |
| 2022-10-01 | 2023-09-30 | 995,366 | USD | 2026-02-06 | 20-F · 0001213900-26-013131 |
Related financial histories
- RICH SPARKLE HOLDINGS LIMITED: stockholders equity
- RICH SPARKLE HOLDINGS LIMITED: net income or loss
- RICH SPARKLE HOLDINGS LIMITED: operating cash flow
- RICH SPARKLE HOLDINGS LIMITED: revenue
- RICH SPARKLE HOLDINGS LIMITED: financing cash flow
- RICH SPARKLE HOLDINGS LIMITED: basic weighted-average shares
- RICH SPARKLE HOLDINGS LIMITED: diluted weighted-average shares
- RICH SPARKLE HOLDINGS LIMITED: basic earnings per share
- RICH SPARKLE HOLDINGS LIMITED: diluted earnings per share
- RICH SPARKLE HOLDINGS LIMITED: income tax expense or benefit
- RICH SPARKLE HOLDINGS LIMITED: operating expenses
- RICH SPARKLE HOLDINGS LIMITED: gross profit
- RICH SPARKLE HOLDINGS LIMITED: cost of revenue
- RICH SPARKLE HOLDINGS LIMITED: selling, general and administrative expense
Inspect the source
- Entity
- RICH SPARKLE HOLDINGS LIMITED / CIK 0002031688
- Captured
- 2026-09-21T17:39:48.584Z
- SEC response SHA-256
9d613286f01de8b33a69ab5a8508b7105c3fac98cffb19e8d45ff4484571c57d
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/0002031688.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"])))