Ufp Technologies (UFPT) Return on Assets [ROA] (2011 - 2026)
Ufp Technologies' Return on Assets [ROA] came in at 10.66% for Q2 2026, up 0.15 percentage points from 10.51% a year earlier and up 0.34 percentage points from the prior quarter.
Ufp Technologies (UFPT) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Ufp Technologies' Return on Assets [ROA] was 10.64%, down 0.78 percentage points from FY2024.
- Return on Assets [ROA] has declined in each of the last three years, though with a five-year change of +3.82 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was 11.42% in FY2024 (-0.07 pp), 11.48% in FY2023 (-0.25 pp), 11.73% in FY2022 (+5.82 pp) and 5.91% in FY2021 (-0.91 pp).
- The Q2 2026 figure represents the highest quarterly Return on Assets [ROA] since Q2 2024.
- Year-over-year, Return on Assets [ROA] has increased for four consecutive quarters, with an average year-over-year change of -0.44 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q1 2023 (a gain of 7.38 percentage points), and the weakest in Q2 2022 (a drop of 2.04 percentage points).
- Business Quant data shows UFPT's Return on Assets [ROA] at 10.32% (Q1 2026), 10.45% (Q4 2025) and 10.43% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 6.17% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.94% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.54% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 15.41% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 5.66% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | -1.94% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 8.19% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 7.38% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.85% |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 10.66% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.66% |
| Mar 31, 2026 | 10.32% |
| Dec 31, 2025 | 10.45% |
| Sep 30, 2025 | 10.43% |
| Jun 30, 2025 | 10.51% |
| Mar 31, 2025 | 9.98% |
| Dec 31, 2024 | 9.31% |
| Sep 30, 2024 | 10.22% |
| Jun 30, 2024 | 11.94% |
| Mar 31, 2024 | 11.80% |
| Dec 31, 2023 | 11.18% |
| Sep 30, 2023 | 10.47% |
| Jun 30, 2023 | 12.58% |
| Mar 31, 2023 | 12.14% |
| Dec 31, 2022 | 10.90% |
| Sep 30, 2022 | 9.33% |
| Jun 30, 2022 | 5.48% |
| Mar 31, 2022 | 4.75% |
| Dec 31, 2021 | 5.73% |
| Sep 30, 2021 | 7.69% |
Ufp Technologies Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=UFPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();