UFP Technologies, Inc.: goodwill carrying amount
UFP Technologies goodwill carrying amount: $197.4 million at 2025-12-31, up 4.1% on the year. 16 values since 2010 from SEC filings, each linked to its filing.
All UFP Technologies, Inc. financial histories
At a glance
UFP Technologies reported goodwill carrying amount of $197.4 million at 2025-12-31, up 4.1% from $189.7 million a year earlier. From 2010 to 2025 it grew at a compound 25.6% a year, from $6.48 million to $197.4 million. Across the last five reported years it ranged from $107.9 million (2021-12-31) to $197.4 million (2025-12-31). That was 30.1% of total assets ($655.1 million) 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 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2025-12-31 | 197,403,000 | USD | 2026-02-27 | 10-K · 0001628280-26-012816 SEC |
| - | 2024-12-31 | 189,657,000 | USD | 2026-02-27 | 10-K · 0001628280-26-012816 SEC |
| - | 2023-12-31 | 113,263,000 | USD | 2026-02-27 | 10-K · 0001628280-26-012816 SEC |
| - | 2022-12-31 | 113,028,000 | USD | 2025-03-03 | 10-K · 0001171843-25-001192 SEC |
| - | 2021-12-31 | 107,905,000 | USD | 2024-02-29 | 10-K · 0001171843-24-001078 SEC |
| - | 2020-12-31 | 51,838,000 | USD | 2023-03-16 | 10-K · 0001171843-23-001734 SEC |
| - | 2019-12-31 | 51,838,000 | USD | 2021-03-12 | 10-K · 0001171843-21-001724 SEC |
| - | 2018-12-31 | 51,838,000 | USD | 2020-03-13 | 10-K · 0001171843-20-001695 SEC |
| - | 2017-12-31 | 7,322,000 | USD | 2019-03-15 | 10-K · 0001171843-19-001752 SEC |
| - | 2016-12-31 | 7,322,000 | USD | 2018-03-16 | 10-K · 0001171843-18-002024 SEC |
| - | 2015-12-31 | 7,322,000 | USD | 2017-03-10 | 10-K · 0001171843-17-001409 SEC |
| - | 2014-12-31 | 7,322,000 | USD | 2016-03-11 | 10-K · 0001104659-16-104377 SEC |
| - | 2013-12-31 | 7,322,000 | USD | 2015-03-13 | 10-K · 0001104659-15-019457 SEC |
| - | 2012-12-31 | 7,039,000 | USD | 2014-03-14 | 10-K · 0001104659-14-019572 SEC |
| - | 2011-12-31 | 6,481,000 | USD | 2014-03-14 | 10-K · 0001104659-14-019572 SEC |
| - | 2010-12-31 | 6,481,037 | USD | 2013-03-15 | 10-K · 0001104659-13-020973 SEC |
Related UFP Technologies, Inc. histories
Inspect the source
- Entity
- UFP Technologies, Inc. / CIK 0000914156
- Captured
- SEC response SHA-256
484b0ab61dcd7921b7ae8ff9083e1d8642f4efa145b0823c5dc9b0cb5816cdd2
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/0000914156.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"])))