Ufp Technologies (UFPT) Operating Income (2010 - 2026)
Ufp Technologies (UFPT) posted Operating Income of $28.1 million for Q2 2026, up 15.5% from $24.33 million a year earlier and up 20.3% from the prior quarter.
Ufp Technologies (UFPT) Operating Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Ufp Technologies was $96.35 million, up 2.0% year-over-year; for FY2025, it came in at $92.34 million, up 14.1% from FY2024.
- Annual Operating Income has increased for five consecutive years, with a five-year compound annual growth rate of 40.7% (FY2020 to FY2025).
- In prior years, Ufp Technologies' Operating Income was $80.9 million in FY2024 (+40.3%), $57.66 million in FY2023 (+4.1%), $55.4 million in FY2022 (+161.1%) and $21.22 million in FY2021 (+26.8%).
- The Q2 2026 figure stands as the highest quarterly Operating Income in data going back to Q2 2010.
- On a year-over-year basis, Operating Income increased in six of the last eight quarters, with growth averaging 28.5%.
- The strongest year-over-year quarter for Operating Income in the past five years was Q3 2022, with growth of 411.4%; the weakest was Q3 2023, with a decline of 42.1%.
- According to Business Quant data, Operating Income for the three prior quarters was $23.37 million (Q1 2026), $21.5 million (Q4 2025) and $23.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 513.20 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 663.00 Mn |
| 10 | Ufp Technologies | 2.28 Bn | 2.22 Bn | 50.92 Mn | 28.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.10 Mn |
| Mar 31, 2026 | 23.37 Mn |
| Dec 31, 2025 | 21.50 Mn |
| Sep 30, 2025 | 23.38 Mn |
| Jun 30, 2025 | 24.33 Mn |
| Mar 31, 2025 | 23.13 Mn |
| Dec 31, 2024 | 22.26 Mn |
| Sep 30, 2024 | 24.76 Mn |
| Jun 30, 2024 | 17.95 Mn |
| Mar 31, 2024 | 15.92 Mn |
| Dec 31, 2023 | 12.74 Mn |
| Sep 30, 2023 | 15.05 Mn |
| Jun 30, 2023 | 17.04 Mn |
| Mar 31, 2023 | 12.84 Mn |
| Dec 31, 2022 | 10.88 Mn |
| Sep 30, 2022 | 25.97 Mn |
| Jun 30, 2022 | 12.20 Mn |
| Mar 31, 2022 | 6.36 Mn |
| Dec 31, 2021 | 4.63 Mn |
| Sep 30, 2021 | 5.08 Mn |
Ufp Technologies Operating Income 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=operating-income&ticker=UFPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();