Gemini Space Station, Inc.: financing cash flow
Financing cash flow for Gemini Space Station, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Gemini Space Station, 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 | 514,031,000 | USD | 2026-03-31 | 10-K · 0002055592-26-000026 |
| 2024-01-01 | 2024-12-31 | 225,379,000 | USD | 2026-03-31 | 10-K · 0002055592-26-000026 |
| 2023-01-01 | 2023-12-31 | -521,436,000 | USD | 2026-03-31 | 10-K · 0002055592-26-000026 |
Related financial histories
- Gemini Space Station, Inc.: stockholders equity
- Gemini Space Station, Inc.: cash and cash equivalents
- Gemini Space Station, Inc.: net income or loss
- Gemini Space Station, Inc.: operating cash flow
- Gemini Space Station, Inc.: capital expenditure payments
- Gemini Space Station, Inc.: revenue
- Gemini Space Station, Inc.: investing cash flow
- Gemini Space Station, Inc.: basic weighted-average shares
- Gemini Space Station, Inc.: diluted weighted-average shares
- Gemini Space Station, Inc.: basic earnings per share
- Gemini Space Station, Inc.: diluted earnings per share
- Gemini Space Station, Inc.: income tax expense or benefit
- Gemini Space Station, Inc.: share-based compensation expense
- Gemini Space Station, Inc.: operating income or loss
- Gemini Space Station, Inc.: operating expenses
Inspect the source
- Entity
- Gemini Space Station, Inc. / CIK 0002055592
- Captured
- 2026-09-21T17:42:10.461Z
- SEC response SHA-256
71560877842350f3a615953ef396f1dd90851f399fe9e991cd01573b7f801a1c
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/0002055592.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"])))