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REPUBLIC BANCORP, INC.: capital expenditure payments

Capital expenditure payments for REPUBLIC BANCORP, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All REPUBLIC BANCORP, INC. financial histories

What this measure means

Cash payments to acquire property, plant and equipment. This taxonomy concept does not capture every form of investment or acquisition.

Exact concept: us-gaap:PaymentsToAcquirePropertyPlantAndEquipment. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Capital expenditure payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-317,104,000USD2026-03-0610-K · 0001104659-26-024523
2024-01-012024-12-315,809,000USD2026-03-0610-K · 0001104659-26-024523
2023-01-012023-12-316,896,000USD2026-03-0610-K · 0001104659-26-024523
2022-01-012022-12-313,503,000USD2025-03-0610-K · 0001558370-25-002370
2021-01-012021-12-315,785,000USD2024-03-1410-K · 0001558370-24-003170
2020-01-012020-12-313,582,000USD2023-03-0310-K · 0001558370-23-002793
2019-01-012019-12-3112,883,000USD2022-03-0110-K · 0001558370-22-002537
2018-01-012018-12-319,822,000USD2021-02-2610-K · 0001558370-21-001988
2017-01-012017-12-3112,383,000USD2020-03-1310-K · 0001558370-20-002617
2016-01-012016-12-317,031,000USD2019-03-1510-K · 0001558370-19-002088
2015-01-012015-12-315,319,000USD2018-03-0910-K · 0001558370-18-001768
2014-01-012014-12-317,759,000USD2017-03-1010-K · 0001558370-17-001582
2013-01-012013-12-315,022,000USD2016-03-1110-K · 0001558370-16-004033
2012-01-012012-12-313,888,000USD2015-03-1310-K · 0001104659-15-019419
2011-01-012011-12-313,727,000USD2014-03-1410-K · 0001104659-14-019549
2010-12-312011-12-313,727,000USD2013-03-1410-K · 0001157523-13-001403
2010-01-012010-12-314,268,000USD2012-03-0710-K · 0001157523-12-001254
2009-12-312010-12-314,268,000USD2013-03-1410-K · 0001157523-13-001403
2009-01-012009-12-313,986,000USD2012-03-0710-K · 0001157523-12-001254

Related financial histories

Inspect the source

Entity
REPUBLIC BANCORP, INC. / CIK 0000921557
Captured
2026-09-20T05:08:03.320Z
SEC response SHA-256
f4344e3bb1cc8dba8c7e25809296be2aaf938e519b4ca1d54b5982225f95009a

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/0000921557.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"])))