Ufp Technologies (UFPT) Enterprise Value (2010 - 2026)
Ufp Technologies (UFPT) posted Enterprise Value of $2.04 billion for Q2 2026, up 9.5% from $1.87 billion a year earlier and up 38.3% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Ufp Technologies was $1.99 billion, up 8.9% year-over-year; for FY2025, it was $1.69 billion, down 9.2% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 39.1% (FY2020 to FY2025).
- In prior years, Ufp Technologies' Enterprise Value was $1.86 billion in FY2024 (+42.4%), $1.31 billion in FY2023 (+47.2%), $889.35 million in FY2022 (+71.6%) and $518.3 million in FY2021 (+59.3%).
- The Q2 2026 figure stands as the highest quarterly Enterprise Value since Q3 2024.
- On a year-over-year basis, Enterprise Value increased in three of the last eight quarters, with growth averaging 8.9%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q2 2023, with growth of 147.4%; the weakest was Q3 2025, with a decline of 37.0%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $1.48 billion (Q1 2026), $1.69 billion (Q4 2025) and $1.52 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.04 Bn |
| Mar 31, 2026 | 1.48 Bn |
| Dec 31, 2025 | 1.69 Bn |
| Sep 30, 2025 | 1.52 Bn |
| Jun 30, 2025 | 1.87 Bn |
| Mar 31, 2025 | 1.54 Bn |
| Dec 31, 2024 | 1.86 Bn |
| Sep 30, 2024 | 2.41 Bn |
| Jun 30, 2024 | 2.01 Bn |
| Mar 31, 2024 | 1.92 Bn |
| Dec 31, 2023 | 1.31 Bn |
| Sep 30, 2023 | 1.23 Bn |
| Jun 30, 2023 | 1.48 Bn |
| Mar 31, 2023 | 981.96 Mn |
| Dec 31, 2022 | 889.35 Mn |
| Sep 30, 2022 | 640.61 Mn |
| Jun 30, 2022 | 596.49 Mn |
| Mar 31, 2022 | 496.69 Mn |
| Dec 31, 2021 | 518.30 Mn |
| Sep 30, 2021 | 430.77 Mn |
API Access
Ufp Technologies Enterprise Value 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=enterprise-value&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();