Ufp Technologies (UFPT) EBIT (2010 - 2026)
Ufp Technologies (UFPT) recorded EBIT of $28.1 million in Q2 2026, up 15.5% from $24.33 million a year earlier and up 20.3% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, Ufp Technologies' EBIT came in at $96.35 million as of Jun 30, 2026, up 2.0% year-over-year; for FY2025, it came in at $92.34 million, up 14.1% from FY2024.
- Annual EBIT has increased for five straight years, with a five-year compound annual growth rate of 40.7% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $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 is the highest quarterly EBIT in data going back to Q2 2010.
- On a year-over-year basis, EBIT rose in six of the last eight quarters, with growth averaging 28.5%.
- Peak year-over-year performance for EBIT in the last five years was growth of 411.4% in Q3 2022, against a decline of 42.1% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $23.37 million (Q1 2026), $21.5 million (Q4 2025) and $23.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 513.20 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 663.00 Mn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 28.10 Mn |
Historic Data
Download Data
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 |
API Access
Ufp Technologies EBIT 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=ebit&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();