FIREFLY NEUROSCIENCE, INC.: income tax expense or benefit
Income tax expense or benefit for FIREFLY NEUROSCIENCE, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All FIREFLY NEUROSCIENCE, INC. financial histories
What this measure means
Current and deferred income tax expense or benefit for continuing operations. This accounting expense differs from cash taxes paid.
Exact concept: us-gaap:IncomeTaxExpenseBenefit. 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 2020-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 5,000 | USD | 2026-03-31 | 10-K · 0001437749-26-010500 |
| 2024-01-01 | 2024-12-31 | -2,000 | USD | 2026-03-31 | 10-K · 0001437749-26-010500 |
| 2023-01-01 | 2023-12-31 | 1,000 | USD | 2025-04-03 | 10-K · 0001437749-25-010818 |
| 2022-01-01 | 2022-12-31 | 812,457 | USD | 2024-03-20 | 10-K · 0001437749-24-008626 |
| 2021-01-01 | 2021-12-31 | -1,070,854 | USD | 2023-04-17 | 10-K · 0001437749-23-010426 |
| 2020-01-01 | 2020-12-31 | 0 | USD | 2022-04-12 | 10-K · 0001437749-22-008763 |
Related financial histories
- FIREFLY NEUROSCIENCE, INC.: total assets
- FIREFLY NEUROSCIENCE, INC.: total liabilities
- FIREFLY NEUROSCIENCE, INC.: stockholders equity
- FIREFLY NEUROSCIENCE, INC.: cash and cash equivalents
- FIREFLY NEUROSCIENCE, INC.: net income or loss
- FIREFLY NEUROSCIENCE, INC.: operating cash flow
- FIREFLY NEUROSCIENCE, INC.: capital expenditure payments
- FIREFLY NEUROSCIENCE, INC.: revenue
- FIREFLY NEUROSCIENCE, INC.: financing cash flow
- FIREFLY NEUROSCIENCE, INC.: investing cash flow
- FIREFLY NEUROSCIENCE, INC.: retained earnings or deficit
- FIREFLY NEUROSCIENCE, INC.: basic weighted-average shares
- FIREFLY NEUROSCIENCE, INC.: diluted weighted-average shares
- FIREFLY NEUROSCIENCE, INC.: basic earnings per share
- FIREFLY NEUROSCIENCE, INC.: diluted earnings per share
- FIREFLY NEUROSCIENCE, INC.: net property, plant and equipment
- FIREFLY NEUROSCIENCE, INC.: share-based compensation expense
- FIREFLY NEUROSCIENCE, INC.: operating income or loss
- FIREFLY NEUROSCIENCE, INC.: current assets
- FIREFLY NEUROSCIENCE, INC.: interest expense
- FIREFLY NEUROSCIENCE, INC.: current liabilities
- FIREFLY NEUROSCIENCE, INC.: current accounts payable
- FIREFLY NEUROSCIENCE, INC.: goodwill carrying amount
- FIREFLY NEUROSCIENCE, INC.: net finite-lived intangible assets
- FIREFLY NEUROSCIENCE, INC.: net current accounts receivable
- FIREFLY NEUROSCIENCE, INC.: operating expenses
- FIREFLY NEUROSCIENCE, INC.: gross profit
- FIREFLY NEUROSCIENCE, INC.: cost of revenue
- FIREFLY NEUROSCIENCE, INC.: selling, general and administrative expense
- FIREFLY NEUROSCIENCE, INC.: research and development expense
Inspect the source
- Entity
- FIREFLY NEUROSCIENCE, INC. / CIK 0000803578
- Captured
- 2026-09-19T11:14:36.892Z
- SEC response SHA-256
386f614f287e8c5b3e2613bdf47fdb87a9d81ae013faa05a6408c67881847335
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/0000803578.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"])))