Ufp Technologies (UFPT) Revenue (2010 - 2026)
Ufp Technologies (UFPT) recorded Revenue of $173.96 million in Q2 2026, up 15.1% from $151.18 million a year earlier and up 12.8% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Ufp Technologies' Revenue came in at $631.64 million as of Jun 30, 2026, up 7.3% year-over-year; for FY2025, it came in at $602.8 million, up 19.5% from FY2024.
- Annual Revenue has increased for five straight years, with a five-year compound annual growth rate of 27.4% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $504.42 million in FY2024 (+26.1%), $400.07 million in FY2023 (+13.1%), $353.79 million in FY2022 (+71.5%) and $206.32 million in FY2021 (+15.0%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2010.
- On a year-over-year basis, Revenue has increased for 22 consecutive quarters, with growth averaging 24.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 3.4% in Q4 2025 to 91.2% in Q3 2022.
- Per Business Quant, the preceding three quarters came in at $154.2 million (Q1 2026), $148.92 million (Q4 2025) and $154.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 173.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.96 Mn |
| Mar 31, 2026 | 154.20 Mn |
| Dec 31, 2025 | 148.92 Mn |
| Sep 30, 2025 | 154.56 Mn |
| Jun 30, 2025 | 151.18 Mn |
| Mar 31, 2025 | 148.15 Mn |
| Dec 31, 2024 | 144.07 Mn |
| Sep 30, 2024 | 145.17 Mn |
| Jun 30, 2024 | 110.18 Mn |
| Mar 31, 2024 | 105.01 Mn |
| Dec 31, 2023 | 101.50 Mn |
| Sep 30, 2023 | 100.78 Mn |
| Jun 30, 2023 | 100.04 Mn |
| Mar 31, 2023 | 97.75 Mn |
| Dec 31, 2022 | 91.24 Mn |
| Sep 30, 2022 | 96.97 Mn |
| Jun 30, 2022 | 94.34 Mn |
| Mar 31, 2022 | 71.24 Mn |
| Dec 31, 2021 | 56.34 Mn |
| Sep 30, 2021 | 50.72 Mn |
API Access
Ufp Technologies Revenue 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=revenue&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();