Ufp Technologies (UFPT) Return on Sales [ROS] (2010 - 2026)
Ufp Technologies (UFPT) reported Return on Sales [ROS] of 16.15% for Q2 2026, up 0.06 percentage points from 16.09% a year earlier and up 1.00 percentage points from the prior quarter.
Powered by 
Analysis
Ufp Technologies (UFPT) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ufp Technologies' Return on Sales [ROS] came in at 15.25%, down 0.80 percentage points year-over-year; for FY2025, it was 15.32%, down 0.72 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +5.99 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 16.04% in FY2024 (+1.62 pp), 14.41% in FY2023 (-1.25 pp), 15.66% in FY2022 (+5.37 pp) and 10.28% in FY2021 (+0.96 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q3 2024.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +0.24 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2022 (a gain of 16.77 percentage points); the low point was Q3 2023 (a drop of 11.85 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 15.15% (Q1 2026), 14.44% (Q4 2025) and 15.13% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Ufp Technologies | 2.33 Bn | 2.26 Bn | 50.92 Mn | 16.15% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.15% |
| Mar 31, 2026 | 15.15% |
| Dec 31, 2025 | 14.44% |
| Sep 30, 2025 | 15.13% |
| Jun 30, 2025 | 16.09% |
| Mar 31, 2025 | 15.61% |
| Dec 31, 2024 | 15.45% |
| Sep 30, 2024 | 17.06% |
| Jun 30, 2024 | 16.29% |
| Mar 31, 2024 | 15.16% |
| Dec 31, 2023 | 12.55% |
| Sep 30, 2023 | 14.93% |
| Jun 30, 2023 | 17.04% |
| Mar 31, 2023 | 13.14% |
| Dec 31, 2022 | 11.92% |
| Sep 30, 2022 | 26.78% |
| Jun 30, 2022 | 12.93% |
| Mar 31, 2022 | 8.93% |
| Dec 31, 2021 | 8.22% |
| Sep 30, 2021 | 10.01% |
API Access
Ufp Technologies Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();