TANICO INC.: operating income or loss
Operating income or loss for TANICO INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All TANICO INC. 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 2021-10-01 to 2025-09-30. 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 |
|---|---|---|---|---|---|
| 2024-10-01 | 2025-09-30 | -312 | USD | 2025-12-29 | 10-K · 0001477932-25-009202 |
| 2023-10-01 | 2024-09-30 | -20,967 | USD | 2025-12-29 | 10-K · 0001477932-25-009202 |
| 2022-10-01 | 2023-09-30 | -19,022 | USD | 2024-12-31 | 10-K · 0001477932-24-008399 |
| 2021-10-01 | 2022-09-30 | -18,173 | USD | 2023-12-22 | 10-K · 0001477932-23-009296 |
Related financial histories
- TANICO INC.: total assets
- TANICO INC.: total liabilities
- TANICO INC.: stockholders equity
- TANICO INC.: net income or loss
- TANICO INC.: operating cash flow
- TANICO INC.: capital expenditure payments
- TANICO INC.: revenue
- TANICO INC.: financing cash flow
- TANICO INC.: investing cash flow
- TANICO INC.: retained earnings or deficit
- TANICO INC.: diluted weighted-average shares
- TANICO INC.: net property, plant and equipment
- TANICO INC.: current assets
- TANICO INC.: current liabilities
- TANICO INC.: operating expenses
Inspect the source
- Entity
- TANICO INC. / CIK 0001895939
- Captured
- 2026-09-21T17:33:53.146Z
- SEC response SHA-256
36866e5ad9c126c46187a01fffc79f5d6b74a17cff40915be093e447811314e3
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
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- 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/0001895939.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"])))