ORION BLISS CORP.: operating income or loss
Operating income or loss for ORION BLISS CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All ORION BLISS CORP. 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 2021-05-01 to 2026-04-30. The SEC response was captured on 2026-09-21.
Reading these values
This selected numerical history matches Net income or loss for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-05-01 | 2026-04-30 | -40,926 | USD | 2026-07-08 | 10-K · 0001683168-26-005342 |
| 2024-05-01 | 2025-04-30 | -14,703 | USD | 2026-07-08 | 10-K · 0001683168-26-005342 |
| 2023-05-01 | 2024-04-30 | -52,356 | USD | 2025-07-08 | 10-K · 0001683168-25-004973 |
| 2022-05-01 | 2023-04-30 | -29,182 | USD | 2024-06-04 | 10-K · 0001683168-24-003963 |
| 2021-05-01 | 2022-04-30 | -26,690 | USD | 2022-06-29 | 10-K/A · 0001683168-22-004683 |
Related financial histories
- ORION BLISS CORP.: total assets
- ORION BLISS CORP.: stockholders equity
- ORION BLISS CORP.: cash and cash equivalents
- ORION BLISS CORP.: net income or loss
- ORION BLISS CORP.: operating cash flow
- ORION BLISS CORP.: revenue
- ORION BLISS CORP.: financing cash flow
- ORION BLISS CORP.: investing cash flow
- ORION BLISS CORP.: retained earnings or deficit
- ORION BLISS CORP.: basic weighted-average shares
- ORION BLISS CORP.: diluted weighted-average shares
- ORION BLISS CORP.: current assets
- ORION BLISS CORP.: current liabilities
- ORION BLISS CORP.: operating expenses
Inspect the source
- Entity
- ORION BLISS CORP. / CIK 0001854183
- Captured
- 2026-09-21T17:31:11.989Z
- SEC response SHA-256
f7368c69a59189859ccec2c8a3b60f9c04a317a97e51796d3af590dae7fb0d9b
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/0001854183.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"])))