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1895 Bancorp of Wisconsin, Inc.: financial reference

Explore 1895 Bancorp of Wisconsin, Inc. financial histories from SEC filings, with original units, reporting periods, filing dates and downloadable source data.

Filing record ends 2024-03-29

The latest filing in this captured record is a 10-K filed 2024-03-29. No later filing is in the SEC companyfacts record captured on 2026-09-21. 1895 Bancorp of Wisconsin, Inc. may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

Reported financial histories

Choose a measure to inspect its definition, complete selected history and filing provenance. Each row shows the latest period available for that selected concept and original unit. Separate currencies and reporting intervals remain separate rows. Coverage dates can differ between concepts. A recent capture does not imply recent accounting coverage; these amounts are not prices.

Latest periods by selected concept and original unit
MeasurePeriod startPeriod endValueUnitFiled
Total assetsAt date2023-12-31557,607,000USD2024-03-29
Total liabilitiesAt date2023-12-31484,846,000USD2024-03-29
Stockholders equityAt date2023-12-3172,761,000USD2024-03-29
Net income or loss2023-01-012023-12-31-6,792,000USD2024-03-29
Operating cash flow2023-01-012023-12-31-709,000USD2024-03-29
Financing cash flow2023-01-012023-12-3114,935,000USD2024-03-29
Investing cash flow2023-01-012023-12-31-29,320,000USD2024-03-29
Retained earnings or deficitAt date2023-12-3133,892,000USD2024-03-29
Basic weighted-average shares2023-01-012023-12-315,533,959shares2024-03-29
Diluted weighted-average shares2023-01-012023-12-315,533,959shares2024-03-29
Basic earnings per share2023-01-012023-12-31-1.23USD/shares2024-03-29
Diluted earnings per share2023-01-012023-12-31-1.23USD/shares2024-03-29
Income tax expense or benefit2023-01-012023-12-31388,000USD2024-03-29
Net property, plant and equipmentAt date2023-12-315,182,000USD2024-03-29
Share-based compensation expense2023-01-012023-12-31129,000USD2024-03-29
Interest expense2023-01-012023-12-318,544,000USD2024-03-29
Net finite-lived intangible assetsAt date2023-12-311,720,000USD2024-03-29

Inspect the source

Entity
1895 Bancorp of Wisconsin, Inc. / CIK 0001847360
Captured
2026-09-21T17:21:10.078Z
SEC response SHA-256
6e1188adc28aeb807efe0148bbe606c4ccd6261d15d25c2872eca8bca5efe7a5

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001847360.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"])))