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WESBANCO, INC.: goodwill carrying amount

Goodwill carrying amount for WESBANCO, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All WESBANCO, INC. financial histories

What this measure means

Recognized goodwill remaining after accumulated impairment. It arises from business combinations and does not measure the current value of the company’s brand.

Exact concept: us-gaap:Goodwill. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2011-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Goodwill carrying amount in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-311,600,000,000USD2026-03-0210-K · 0001193125-26-085463
At date2024-12-311,100,000,000USD2026-03-0210-K · 0001193125-26-085463
At date2023-12-311,100,000,000USD2025-03-0310-K · 0000950170-25-030795
At date2022-12-311,100,000,000USD2024-02-2610-K · 0000950170-24-020323
At date2021-12-311,100,000,000USD2023-02-2710-K · 0000950170-23-004507
At date2020-12-311,100,000,000USD2022-02-2810-K · 0000950170-22-002226
At date2019-12-311,100,000,000USD2021-02-2610-K · 0001564590-21-009469
At date2018-12-31900,000,000USD2020-02-2810-K · 0001564590-20-007827
At date2017-12-31573,900,000USD2019-03-0110-K · 0001193125-19-061126
At date2016-12-31573,800,000USD2018-02-2710-K · 0001193125-18-060835
At date2015-12-31480,600,000USD2017-02-2410-K · 0001193125-17-056304
At date2014-12-31312,100,000USD2016-02-2610-K · 0001193125-16-482126
At date2013-12-31312,100,000USD2015-02-2710-K · 0001193125-15-069680
At date2012-12-31312,900,000USD2014-02-2810-K · 0001193125-14-077330
At date2011-12-31274,100,000USD2013-03-0710-K · 0001193125-13-096213

Related financial histories

Inspect the source

Entity
WESBANCO, INC. / CIK 0000203596
Captured
2026-09-19T14:55:18.783Z
SEC response SHA-256
09c531e0203b8d9bf4bb368321d27d080b0ff8f3e0efe076c95e0747c0f175d1

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/0000203596.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"])))