Wise Group plc: investing cash flow
Investing cash flow for Wise Group plc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Wise Group plc 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 2023-04-01 to 2026-03-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-04-01 | 2026-03-31 | 1,738,500,000 | USD | 2026-06-25 | 20-F · 0001193125-26-282911 |
| 2024-04-01 | 2025-03-31 | -758,500,000 | USD | 2026-06-25 | 20-F · 0001193125-26-282911 |
| 2023-04-01 | 2024-03-31 | -181,100,000 | USD | 2026-06-25 | 20-F · 0001193125-26-282911 |
Related financial histories
- Wise Group plc: stockholders equity
- Wise Group plc: net income or loss
- Wise Group plc: operating cash flow
- Wise Group plc: capital expenditure payments
- Wise Group plc: contract revenue excluding tax
- Wise Group plc: financing cash flow
- Wise Group plc: basic weighted-average shares
- Wise Group plc: diluted weighted-average shares
- Wise Group plc: basic earnings per share
- Wise Group plc: diluted earnings per share
- Wise Group plc: income tax expense or benefit
- Wise Group plc: share-based compensation expense
- Wise Group plc: operating income or loss
- Wise Group plc: operating expenses
Inspect the source
- Entity
- Wise Group plc / CIK 0002099039
- Captured
- 2026-09-21T17:43:06.252Z
- SEC response SHA-256
197aeadccfc1cfdb95af421649d4b04a14589a00afb05695030ca40d480f051f
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/0002099039.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"])))