CASS Information Systems, Inc.: goodwill carrying amount
CASS Information Systems goodwill carrying amount: $16.2 million at 2025-12-31, down 1.0% on the year. 16 values since 2010, each linked to its SEC filing.
All CASS Information Systems, Inc. financial histories
At a glance
CASS Information Systems reported goodwill carrying amount of $16.2 million at 2025-12-31, down 1.0% from $16.3 million a year earlier. From 2010 to 2025 it grew at a compound 5.3% a year, from $7.47 million to $16.2 million. Across the last five reported years it ranged from $12.3 million (2023-12-31) to $17.3 million (2022-12-31). That was 0.6% of total assets ($2.61 billion) at the same date.
Computed from the values in the table below, in USD; each links to the filing it came from.
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
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2025-12-31 | 16,164,000 | USD | 2026-03-06 | 10-K · 0000708781-26-000010 SEC |
| - | 2024-12-31 | 16,333,000 | USD | 2026-03-06 | 10-K · 0000708781-26-000010 SEC |
| - | 2023-12-31 | 12,304,000 | USD | 2026-03-06 | 10-K · 0000708781-26-000010 SEC |
| - | 2022-12-31 | 17,309,000 | USD | 2025-03-05 | 10-K · 0000708781-25-000018 SEC |
| - | 2021-12-31 | 14,262,000 | USD | 2024-02-28 | 10-K · 0000708781-24-000023 SEC |
| - | 2020-12-31 | 14,262,000 | USD | 2023-02-28 | 10-K · 0000708781-23-000012 SEC |
| - | 2019-12-31 | 14,262,000 | USD | 2022-02-28 | 10-K · 0001628280-22-004254 SEC |
| - | 2018-12-31 | 12,569,000 | USD | 2021-02-26 | 10-K · 0001206774-21-000530 SEC |
| - | 2017-12-31 | 12,569,000 | USD | 2020-03-06 | 10-K/A · 0001206774-20-000716 SEC |
| - | 2016-12-31 | 11,590,000 | USD | 2019-03-01 | 10-K · 0001206774-19-000648 SEC |
| - | 2015-12-31 | 11,590,000 | USD | 2018-02-28 | 10-K · 0001206774-18-000614 SEC |
| - | 2014-12-31 | 11,590,000 | USD | 2017-03-08 | 10-K · 0001206774-17-000734 SEC |
| - | 2013-12-31 | 11,590,000 | USD | 2016-03-07 | 10-K · 0001206774-16-004815 SEC |
| - | 2012-12-31 | 11,590,000 | USD | 2015-03-09 | 10-K · 0001206774-15-000808 SEC |
| - | 2011-12-31 | 7,471,000 | USD | 2014-03-11 | 10-K · 0001206774-14-000828 SEC |
| - | 2010-12-31 | 7,471,000 | USD | 2013-03-08 | 10-K · 0001206774-13-000998 SEC |
Related CASS INFORMATION SYSTEMS, INC. histories
Inspect the source
- Entity
- CASS INFORMATION SYSTEMS, INC. / CIK 0000708781
- Captured
- SEC response SHA-256
cb0dc01e5f8349623bcb7366b3562af3282317910c52ea71d45fac9eb1f24b86
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
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000708781.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"])))