SOUTH BOW CORPORATION: investing cash flow
Investing cash flow for SOUTH BOW CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All SOUTH BOW CORPORATION financial histories
What this measure means
Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.
Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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 | -175,000,000 | USD | 2026-03-16 | 40-F · 0002019061-26-000006 |
| 2024-01-01 | 2024-12-31 | -80,000,000 | USD | 2026-03-16 | 40-F · 0002019061-26-000006 |
| 2023-01-01 | 2023-12-31 | 62,000,000 | USD | 2025-03-06 | 40-F · 0001628280-25-010681 |
Related financial histories
- SOUTH BOW CORPORATION: total assets
- SOUTH BOW CORPORATION: total liabilities
- SOUTH BOW CORPORATION: cash and cash equivalents
- SOUTH BOW CORPORATION: operating cash flow
- SOUTH BOW CORPORATION: revenue
- SOUTH BOW CORPORATION: financing cash flow
- SOUTH BOW CORPORATION: retained earnings or deficit
- SOUTH BOW CORPORATION: basic weighted-average shares
- SOUTH BOW CORPORATION: diluted weighted-average shares
- SOUTH BOW CORPORATION: basic earnings per share
- SOUTH BOW CORPORATION: diluted earnings per share
- SOUTH BOW CORPORATION: income tax expense or benefit
- SOUTH BOW CORPORATION: net property, plant and equipment
- SOUTH BOW CORPORATION: current assets
- SOUTH BOW CORPORATION: current liabilities
- SOUTH BOW CORPORATION: net current accounts receivable
- SOUTH BOW CORPORATION: net inventory
Inspect the source
- Entity
- SOUTH BOW CORPORATION / CIK 0002019061
- Captured
- 2026-09-21T17:39:07.235Z
- SEC response SHA-256
989cc9b67319b73fef483a0944f236b19f6fb52594b441a49604f395617db76c
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/0002019061.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"])))