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FIRST MERCHANTS CORP: goodwill carrying amount

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

All FIRST MERCHANTS CORP 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 2010-12-31 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 date2025-12-31712,002,000USD2026-02-2510-K · 0000712534-26-000022
At date2024-12-31712,002,000USD2026-02-2510-K · 0000712534-26-000022
At date2023-12-31712,002,000USD2025-02-2410-K · 0000712534-25-000058
At date2022-12-31712,002,000USD2024-02-2910-K · 0000712534-24-000071
At date2021-12-31545,385,000USD2024-02-2910-K · 0000712534-24-000071
At date2020-12-31543,918,000USD2023-03-0110-K · 0000712534-23-000067
At date2019-12-31543,918,000USD2022-03-0110-K · 0000712534-22-000044
At date2018-12-31445,355,000USD2021-03-0110-K · 0000712534-21-000077
At date2017-12-31445,355,000USD2020-02-2810-K · 0000712534-20-000060
At date2016-12-31244,000,000USD2019-02-2710-K · 0000712534-19-000032
At date2015-12-31243,129,000USD2018-03-0110-K · 0000712534-18-000065
At date2014-12-31202,724,000USD2017-03-0110-K · 0000712534-17-000095
At date2013-12-31188,948,000USD2016-02-2910-K · 0000712534-16-000349
At date2012-12-31141,375,000USD2015-02-2710-K · 0000712534-15-000056
At date2011-12-31141,357,000USD2014-03-1410-K · 0000712534-14-000061
At date2010-12-31141,357,000USD2012-03-1510-K · 0001157523-12-001388

Related financial histories

Inspect the source

Entity
FIRST MERCHANTS CORP / CIK 0000712534
Captured
2026-09-19T14:58:36.211Z
SEC response SHA-256
36f09e232f503ed3ff51281e04a234ebe387fd97d7aff4d1a435769f6707d2ed

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/0000712534.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"])))