JUPITER NEUROSCIENCES, INC.: financing cash flow
Financing cash flow for JUPITER NEUROSCIENCES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All JUPITER NEUROSCIENCES, INC. 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 2023-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 5,433,568 | USD | 2026-04-01 | 10-K · 0001493152-26-014687 |
| 2024-01-01 | 2024-12-31 | 7,652,036 | USD | 2026-04-01 | 10-K · 0001493152-26-014687 |
| 2023-01-01 | 2023-12-31 | 445,000 | USD | 2025-03-28 | 10-K · 0001641172-25-001261 |
Related financial histories
- JUPITER NEUROSCIENCES, INC.: total assets
- JUPITER NEUROSCIENCES, INC.: total liabilities
- JUPITER NEUROSCIENCES, INC.: stockholders equity
- JUPITER NEUROSCIENCES, INC.: net income or loss
- JUPITER NEUROSCIENCES, INC.: operating cash flow
- JUPITER NEUROSCIENCES, INC.: retained earnings or deficit
- JUPITER NEUROSCIENCES, INC.: basic weighted-average shares
- JUPITER NEUROSCIENCES, INC.: diluted weighted-average shares
- JUPITER NEUROSCIENCES, INC.: basic earnings per share
- JUPITER NEUROSCIENCES, INC.: diluted earnings per share
- JUPITER NEUROSCIENCES, INC.: share-based compensation expense
- JUPITER NEUROSCIENCES, INC.: operating income or loss
- JUPITER NEUROSCIENCES, INC.: current assets
- JUPITER NEUROSCIENCES, INC.: current liabilities
- JUPITER NEUROSCIENCES, INC.: operating expenses
- JUPITER NEUROSCIENCES, INC.: research and development expense
Inspect the source
- Entity
- JUPITER NEUROSCIENCES, INC. / CIK 0001679628
- Captured
- 2026-09-21T17:23:34.833Z
- SEC response SHA-256
ab20e228016dbac4c822b3afa3fb5f841252808f7cb7447cae472a414ba46ea9
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.
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- 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/0001679628.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"])))