Lesaka Technologies, Inc.: financing cash flow
Lesaka Technologies financing cash flow: -$27.0 million for the year ending 2026-06-30, down 190.8% on the year. 16 values since 2009 from SEC filings.
All Lesaka Technologies, Inc. financial histories
At a glance
Lesaka Technologies reported financing cash flow of -$27.0 million for the year ending 2026-06-30, down 190.8% from $29.7 million a year earlier. Across the last five reported years it ranged from -$27.0 million (2026-06-30) to $122.3 million (2022-06-30).
Computed from the values in the table below, in USD; each links to the filing it came from.
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 2008-07-01 to 2026-06-30. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-07-01 | 2026-06-30 | -26,986,000 | USD | 2026-09-09 | 10-K · 0001562762-26-000104 SEC |
| 2024-07-01 | 2025-06-30 | 29,732,000 | USD | 2026-09-09 | 10-K · 0001562762-26-000104 SEC |
| 2023-07-01 | 2024-06-30 | -7,113,000 | USD | 2026-09-09 | 10-K · 0001562762-26-000104 SEC |
| 2022-07-01 | 2023-06-30 | -19,121,000 | USD | 2025-09-29 | 10-K · 0001562762-25-000245 SEC |
| 2021-07-01 | 2022-06-30 | 122,259,000 | USD | 2024-09-11 | 10-K · 0001562762-24-000222 SEC |
| 2020-07-01 | 2021-06-30 | -13,081,000 | USD | 2023-09-12 | 10-K · 0001562762-23-000348 SEC |
| 2019-07-01 | 2020-06-30 | -48,838,000 | USD | 2022-09-09 | 10-K · 0001562762-22-000377 SEC |
| 2018-07-01 | 2019-06-30 | -24,714,000 | USD | 2021-09-13 | 10-K · 0001562762-21-000349 SEC |
| 2017-07-01 | 2018-06-30 | -473,479,000 | USD | 2020-09-10 | 10-K · 0001062993-20-004444 SEC |
| 2016-07-01 | 2017-06-30 | 40,469,000 | USD | 2019-10-25 | 10-K · 0001062993-19-004031 SEC |
| 2015-07-01 | 2016-06-30 | 13,645,000 | USD | 2018-12-06 | 10-K/A · 0001062993-18-004925 SEC |
| 2012-07-01 | 2013-06-30 | 409,716,000 | USD | 2013-08-22 | 10-K · 0001062993-13-004373 SEC |
| 2011-07-01 | 2012-06-30 | 231,907,000 | USD | 2013-08-22 | 10-K · 0001062993-13-004373 SEC |
| 2010-07-01 | 2011-06-30 | 183,269,000 | USD | 2013-08-22 | 10-K · 0001062993-13-004373 SEC |
| 2009-07-01 | 2010-06-30 | -48,478,000 | USD | 2012-08-23 | 10-K · 0001062993-12-003216 SEC |
| 2008-07-01 | 2009-06-30 | -40,248,000 | USD | 2011-08-25 | 10-K · 0001062993-11-003461 SEC |
Related LESAKA TECHNOLOGIES, INC. histories
Inspect the source
- Entity
- LESAKA TECHNOLOGIES, INC. / CIK 0001041514
- Captured
- SEC response SHA-256
131e7cc124a9119831ff8e50cfbefbb5ca9349e75b788984d465c743b57dfb03
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
The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001041514.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"])))