Ufp Technologies (UFPT) EBT (2010 - 2026)
Ufp Technologies (UFPT) posted EBT of $26.43 million for Q2 2026, up 22.2% from $21.63 million a year earlier and up 22.3% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) EBT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Ufp Technologies was $88.64 million, up 7.8% year-over-year; for FY2025, it came in at $82.51 million, up 13.0% from FY2024.
- Annual EBT has increased for five consecutive years, with a five-year compound annual growth rate of 38.3% (FY2020 to FY2025).
- In prior years, Ufp Technologies' EBT was $73.03 million in FY2024 (+35.5%), $53.9 million in FY2023 (+2.2%), $52.72 million in FY2022 (+148.6%) and $21.21 million in FY2021 (+30.2%).
- The Q2 2026 figure stands as the highest quarterly EBT in data going back to Q2 2010.
- On a year-over-year basis, EBT has increased in each of the last three quarters, with growth averaging 24.7% over the last eight quarters.
- The strongest year-over-year quarter for EBT in the past five years was Q3 2022, with growth of 399.1%; the weakest was Q3 2023, with a decline of 44.0%.
- According to Business Quant data, EBT for the three prior quarters was $21.61 million (Q1 2026), $19.54 million (Q4 2025) and $21.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 1.92 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.52 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.08 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.05 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.77 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.56 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.06 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 519.80 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 554.00 Mn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 26.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.43 Mn |
| Mar 31, 2026 | 21.61 Mn |
| Dec 31, 2025 | 19.54 Mn |
| Sep 30, 2025 | 21.06 Mn |
| Jun 30, 2025 | 21.63 Mn |
| Mar 31, 2025 | 20.28 Mn |
| Dec 31, 2024 | 19.10 Mn |
| Sep 30, 2024 | 21.22 Mn |
| Jun 30, 2024 | 17.37 Mn |
| Mar 31, 2024 | 15.34 Mn |
| Dec 31, 2023 | 11.89 Mn |
| Sep 30, 2023 | 14.14 Mn |
| Jun 30, 2023 | 15.97 Mn |
| Mar 31, 2023 | 11.90 Mn |
| Dec 31, 2022 | 9.77 Mn |
| Sep 30, 2022 | 25.24 Mn |
| Jun 30, 2022 | 11.62 Mn |
| Mar 31, 2022 | 6.09 Mn |
| Dec 31, 2021 | 4.63 Mn |
| Sep 30, 2021 | 5.06 Mn |
API Access
Ufp Technologies EBT 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=ebt&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();