BROOKFIELD WEALTH SOLUTIONS LTD.: investing cash flow
Investing cash flow for BROOKFIELD WEALTH SOLUTIONS LTD. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All BROOKFIELD WEALTH SOLUTIONS LTD. 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 2021-01-01 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 | -9,672,000,000 | USD | 2026-03-26 | 20-F · 0001837429-26-000008 |
| 2024-01-01 | 2024-12-31 | 1,433,000,000 | USD | 2026-03-26 | 20-F · 0001837429-26-000008 |
| 2023-01-01 | 2023-12-31 | -1,809,000,000 | USD | 2026-03-26 | 20-F · 0001837429-26-000008 |
| 2022-01-01 | 2022-12-31 | -4,878,000,000 | USD | 2025-03-27 | 20-F · 0001837429-25-000009 |
| 2021-01-01 | 2021-12-31 | -3,971,000,000 | USD | 2024-03-28 | 20-F · 0001837429-24-000006 |
Related financial histories
- BROOKFIELD WEALTH SOLUTIONS LTD.: total assets
- BROOKFIELD WEALTH SOLUTIONS LTD.: total liabilities
- BROOKFIELD WEALTH SOLUTIONS LTD.: cash and cash equivalents
- BROOKFIELD WEALTH SOLUTIONS LTD.: operating cash flow
- BROOKFIELD WEALTH SOLUTIONS LTD.: revenue
- BROOKFIELD WEALTH SOLUTIONS LTD.: financing cash flow
- BROOKFIELD WEALTH SOLUTIONS LTD.: retained earnings or deficit
- BROOKFIELD WEALTH SOLUTIONS LTD.: basic weighted-average shares
- BROOKFIELD WEALTH SOLUTIONS LTD.: basic earnings per share
- BROOKFIELD WEALTH SOLUTIONS LTD.: income tax expense or benefit
- BROOKFIELD WEALTH SOLUTIONS LTD.: interest expense
- BROOKFIELD WEALTH SOLUTIONS LTD.: goodwill carrying amount
- BROOKFIELD WEALTH SOLUTIONS LTD.: net finite-lived intangible assets
Inspect the source
- Entity
- BROOKFIELD WEALTH SOLUTIONS LTD. / CIK 0001837429
- Captured
- 2026-09-21T17:20:40.219Z
- SEC response SHA-256
079a5fab6ca27fcf7586dbeec11c45adac0f9907f803a07b508d9fed78cce875
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/0001837429.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"])))