Ufp Technologies (UFPT) Net Income (2010 - 2026)
Ufp Technologies (UFPT) posted Net Income of $20.85 million for Q2 2026, up 21.4% from $17.18 million a year earlier and up 19.2% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Net Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Income at Ufp Technologies was $72.3 million, up 7.7% year-over-year; for FY2025, it came in at $68.31 million, up 15.8% from FY2024.
- Annual Net Income has increased for five consecutive years, with a five-year compound annual growth rate of 38.6% (FY2020 to FY2025).
- In prior years, Ufp Technologies' Net Income was $58.98 million in FY2024 (+31.3%), $44.92 million in FY2023 (+7.5%), $41.79 million in FY2022 (+163.1%) and $15.89 million in FY2021 (+18.8%).
- The Q2 2026 figure stands as the highest quarterly Net Income in data going back to Q2 2010.
- On a year-over-year basis, Net Income has increased in each of the last 11 quarters, with growth averaging 21.7% over the last eight quarters.
- The strongest year-over-year quarter for Net Income in the past five years was Q3 2022, with growth of 415.7%; the weakest was Q3 2023, with a decline of 40.2%.
- According to Business Quant data, Net Income for the three prior quarters was $17.5 million (Q1 2026), $17.57 million (Q4 2025) and $16.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 1.74 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 928.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 870.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 823.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.48 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | -220.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 905.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 241.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 377.00 Mn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 20.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.85 Mn |
| Mar 31, 2026 | 17.50 Mn |
| Dec 31, 2025 | 17.57 Mn |
| Sep 30, 2025 | 16.38 Mn |
| Jun 30, 2025 | 17.18 Mn |
| Mar 31, 2025 | 17.18 Mn |
| Dec 31, 2024 | 16.38 Mn |
| Sep 30, 2024 | 16.36 Mn |
| Jun 30, 2024 | 13.55 Mn |
| Mar 31, 2024 | 12.69 Mn |
| Dec 31, 2023 | 11.61 Mn |
| Sep 30, 2023 | 11.69 Mn |
| Jun 30, 2023 | 11.88 Mn |
| Mar 31, 2023 | 9.74 Mn |
| Dec 31, 2022 | 8.46 Mn |
| Sep 30, 2022 | 19.54 Mn |
| Jun 30, 2022 | 8.93 Mn |
| Mar 31, 2022 | 4.86 Mn |
| Dec 31, 2021 | 3.22 Mn |
| Sep 30, 2021 | 3.79 Mn |
API Access
Ufp Technologies Net 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=net-income&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();