Isabella Bank Corp: net finite-lived intangible assets
Isabella Bank net finite-lived intangible assets: $2000 at 2023-12-31, down 60.0% on the year. 12 values since 2012 from SEC filings, each linked to its filing.
All Isabella Bank Corp financial histories
At a glance
Isabella Bank reported net finite-lived intangible assets of $2000 at 2023-12-31, down 60.0% from $5000 a year earlier. From 2012 to 2023 it fell at a compound 42.7% a year, from $914.0 thousand to $2000. Across the last five reported years it ranged from $2000 (2023-12-31) to $97.0 thousand (2019-12-31). That was 0.0% of total assets ($2.06 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
Finite-lived intangible assets after amortization. This excludes goodwill and should not be combined with indefinite-lived intangible assets without checking scope.
Exact concept: us-gaap:FiniteLivedIntangibleAssetsNet. 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 2012-12-31 to 2023-12-31. The SEC response was captured on 2026-09-19.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2023-12-31 | 2,000 | USD | 2024-03-07 | 10-K · 0000842517-24-000048 SEC |
| - | 2022-12-31 | 5,000 | USD | 2023-03-07 | 10-K · 0000842517-23-000055 SEC |
| - | 2021-12-31 | 20,000 | USD | 2022-03-15 | 10-K · 0000842517-22-000061 SEC |
| - | 2020-12-31 | 49,000 | USD | 2021-03-10 | 10-K · 0000842517-21-000069 SEC |
| - | 2019-12-31 | 97,000 | USD | 2020-03-16 | 10-K · 0000842517-20-000040 SEC |
| - | 2018-12-31 | 169,000 | USD | 2019-03-14 | 10-K · 0000842517-19-000052 SEC |
| - | 2017-12-31 | 265,000 | USD | 2018-03-16 | 10-K · 0000842517-18-000059 SEC |
| - | 2016-12-31 | 384,000 | USD | 2017-03-07 | 10-K · 0000842517-17-000068 SEC |
| - | 2015-12-31 | 546,000 | USD | 2016-03-14 | 10-K · 0000842517-16-000214 SEC |
| - | 2014-12-31 | 510,000 | USD | 2015-03-13 | 10-K · 0000842517-15-000036 SEC |
| - | 2013-12-31 | 693,000 | USD | 2014-03-10 | 10-K · 0000842517-14-000053 SEC |
| - | 2012-12-31 | 914,000 | USD | 2013-03-14 | 10-K · 0001193125-13-106679 SEC |
Related Isabella Bank Corp histories
Inspect the source
- Entity
- Isabella Bank Corp / CIK 0000842517
- Captured
- SEC response SHA-256
d51c3116d141dc2d94c84dc69c83b2ab88ba1c58d5fc054d183fdaf3ede9daf1
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.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000842517.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"])))