GENERATION INCOME PROPERTIES, INC.: financing cash flow
Financing cash flow for GENERATION INCOME PROPERTIES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All GENERATION INCOME PROPERTIES, 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 2020-01-01 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 | -18,486,821 | USD | 2026-04-03 | 10-K/A · 0001193125-26-140770 |
| 2024-01-01 | 2024-12-31 | 2,246,453 | USD | 2026-04-03 | 10-K/A · 0001193125-26-140770 |
| 2023-01-01 | 2023-12-31 | 32,701,579 | USD | 2025-03-28 | 10-K · 0000950170-25-046959 |
| 2022-01-01 | 2022-12-31 | 5,826,284 | USD | 2024-04-08 | 10-K · 0000950170-24-042640 |
| 2021-01-01 | 2021-12-31 | 13,606,159 | USD | 2023-03-28 | 10-K · 0000950170-23-010283 |
| 2020-01-01 | 2020-12-31 | -259,811 | USD | 2022-03-18 | 10-K · 0001564590-22-011056 |
Related financial histories
- GENERATION INCOME PROPERTIES, INC.: total assets
- GENERATION INCOME PROPERTIES, INC.: total liabilities
- GENERATION INCOME PROPERTIES, INC.: stockholders equity
- GENERATION INCOME PROPERTIES, INC.: cash and cash equivalents
- GENERATION INCOME PROPERTIES, INC.: net income or loss
- GENERATION INCOME PROPERTIES, INC.: operating cash flow
- GENERATION INCOME PROPERTIES, INC.: revenue
- GENERATION INCOME PROPERTIES, INC.: investing cash flow
- GENERATION INCOME PROPERTIES, INC.: retained earnings or deficit
- GENERATION INCOME PROPERTIES, INC.: basic weighted-average shares
- GENERATION INCOME PROPERTIES, INC.: diluted weighted-average shares
- GENERATION INCOME PROPERTIES, INC.: basic earnings per share
- GENERATION INCOME PROPERTIES, INC.: diluted earnings per share
- GENERATION INCOME PROPERTIES, INC.: operating income or loss
- GENERATION INCOME PROPERTIES, INC.: net finite-lived intangible assets
- GENERATION INCOME PROPERTIES, INC.: net current accounts receivable
- GENERATION INCOME PROPERTIES, INC.: operating expenses
Inspect the source
- Entity
- GENERATION INCOME PROPERTIES, INC. / CIK 0001651721
- Captured
- 2026-09-21T17:22:49.367Z
- SEC response SHA-256
63874a48eb38e4991e137a7259630530b28911c16ef8ec8a718ce5c16fd42fc8
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/0001651721.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"])))