HORIZON BANCORP, INC.: common-stock repurchase payments
Common-stock repurchase payments for HORIZON BANCORP, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All HORIZON BANCORP, INC. financial histories
What this measure means
Cash paid to reacquire common stock during the period. This is not an authorization limit or a direct measure of the net change in share count.
Exact concept: us-gaap:PaymentsForRepurchaseOfCommonStock. 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 2024-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-01-01 | 2024-12-31 | 0 | USD | 2025-03-14 | 10-K · 0000706129-25-000036 |
| 2023-01-01 | 2023-12-31 | 0 | USD | 2025-03-14 | 10-K · 0000706129-25-000036 |
| 2022-01-01 | 2022-12-31 | 0 | USD | 2025-03-14 | 10-K · 0000706129-25-000036 |
| 2021-01-01 | 2021-12-31 | 7,607,000 | USD | 2024-03-15 | 10-K · 0000706129-24-000015 |
| 2020-01-01 | 2020-12-31 | 19,636,000 | USD | 2023-03-15 | 10-K · 0000706129-23-000034 |
Related financial histories
- HORIZON BANCORP, INC.: total assets
- HORIZON BANCORP, INC.: total liabilities
- HORIZON BANCORP, INC.: stockholders equity
- HORIZON BANCORP, INC.: cash and cash equivalents
- HORIZON BANCORP, INC.: net income or loss
- HORIZON BANCORP, INC.: operating cash flow
- HORIZON BANCORP, INC.: capital expenditure payments
- HORIZON BANCORP, INC.: financing cash flow
- HORIZON BANCORP, INC.: investing cash flow
- HORIZON BANCORP, INC.: retained earnings or deficit
- HORIZON BANCORP, INC.: basic weighted-average shares
- HORIZON BANCORP, INC.: diluted weighted-average shares
- HORIZON BANCORP, INC.: basic earnings per share
- HORIZON BANCORP, INC.: diluted earnings per share
- HORIZON BANCORP, INC.: income tax expense or benefit
- HORIZON BANCORP, INC.: net property, plant and equipment
- HORIZON BANCORP, INC.: share-based compensation expense
- HORIZON BANCORP, INC.: interest expense
- HORIZON BANCORP, INC.: goodwill carrying amount
- HORIZON BANCORP, INC.: net finite-lived intangible assets
Inspect the source
- Entity
- HORIZON BANCORP, INC. / CIK 0000706129
- Captured
- 2026-09-19T14:58:06.075Z
- SEC response SHA-256
05a4cb61ba53c71fca4d01ca922783cb3acdac4a74641a1e03aed4adffd792f9
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/0000706129.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"])))