Ufp Technologies (UFPT) EBITDA (2010 - 2026)
Ufp Technologies (UFPT) recorded EBITDA of $33.09 million in Q2 2026, up 5.2% from $31.45 million a year earlier and up 17.0% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Ufp Technologies' EBITDA came in at $121.09 million as of Jun 30, 2026, up 1.5% year-over-year; for FY2025, it was $111.49 million, up 16.6% from FY2024.
- Annual EBITDA has increased for five straight years, with a five-year compound annual growth rate of 34.9% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $95.61 million in FY2024 (+38.4%), $69.07 million in FY2023 (+2.7%), $67.29 million in FY2022 (+127.1%) and $29.63 million in FY2021 (+18.5%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA rose in five of the last seven quarters, with growth averaging 34.8%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 304.4% in Q3 2022, against a decline of 37.8% in Q3 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 33.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.09 Mn |
| Mar 31, 2026 | 28.29 Mn |
| Sep 30, 2025 | 28.27 Mn |
| Jun 30, 2025 | 31.45 Mn |
| Mar 31, 2025 | 30.16 Mn |
| Dec 31, 2024 | 26.92 Mn |
| Sep 30, 2024 | 30.79 Mn |
| Jun 30, 2024 | 20.98 Mn |
| Mar 31, 2024 | 18.92 Mn |
| Dec 31, 2023 | 15.70 Mn |
| Sep 30, 2023 | 17.88 Mn |
| Jun 30, 2023 | 19.87 Mn |
| Mar 31, 2023 | 15.62 Mn |
| Dec 31, 2022 | 13.62 Mn |
| Sep 30, 2022 | 28.77 Mn |
| Jun 30, 2022 | 15.52 Mn |
| Mar 31, 2022 | 9.38 Mn |
| Dec 31, 2021 | 6.84 Mn |
| Sep 30, 2021 | 7.11 Mn |
| Jun 30, 2021 | 8.31 Mn |
API Access
Ufp Technologies EBITDA 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=ebitda&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();