Ufp Technologies (UFPT) Intangibles (2010 - 2026)
Ufp Technologies (UFPT) recorded Intangibles of $135.25 million in Q2 2026, down 4.7% from $141.97 million a year earlier and down 1.9% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Technologies reported Intangibles of $140.85 million, down 2.4% from FY2024.
- Annual Intangibles has a five-year compound annual growth rate of 48.2% (FY2020 to FY2025).
- Across earlier years, Intangibles came in at $144.25 million in FY2024 (+125.0%), $64.12 million in FY2023 (-6.2%), $68.36 million in FY2022 (+1.1%) and $67.59 million in FY2021 (+242.8%).
- The Q2 2026 figure is the lowest quarterly Intangibles since Q3 2024.
- On a year-over-year basis, Intangibles has declined for three consecutive quarters, with growth averaging 60.2% over the last eight quarters.
- Peak year-over-year performance for Intangibles in the last five years was growth of 269.4% in Q2 2022, against a decline of 6.6% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $137.86 million (Q1 2026), $140.85 million (Q4 2025) and $143.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.38 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 448.00 Mn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 135.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.25 Mn |
| Mar 31, 2026 | 137.86 Mn |
| Dec 31, 2025 | 140.85 Mn |
| Sep 30, 2025 | 143.26 Mn |
| Jun 30, 2025 | 141.97 Mn |
| Mar 31, 2025 | 141.97 Mn |
| Dec 31, 2024 | 144.25 Mn |
| Sep 30, 2024 | 134.72 Mn |
| Jun 30, 2024 | 62.38 Mn |
| Mar 31, 2024 | 62.91 Mn |
| Dec 31, 2023 | 64.12 Mn |
| Sep 30, 2023 | 65.02 Mn |
| Jun 30, 2023 | 66.25 Mn |
| Mar 31, 2023 | 67.35 Mn |
| Dec 31, 2022 | 68.36 Mn |
| Sep 30, 2022 | 69.04 Mn |
| Jun 30, 2022 | 70.51 Mn |
| Mar 31, 2022 | 71.57 Mn |
| Dec 31, 2021 | 67.59 Mn |
| Sep 30, 2021 | 18.78 Mn |
API Access
Ufp Technologies Intangibles API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=intangibles&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "UFPT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();