Ufp Technologies (UFPT) Operating Leases (2019 - 2026)
Ufp Technologies (UFPT) reported Operating Leases of $14.29 million for Q2 2026, up 12.1% from $12.75 million a year earlier and up 6.3% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Ufp Technologies posted Operating Leases of $13.99 million, up 12.5% from FY2024.
- Operating Leases has a five-year compound annual growth rate of 71.2% (FY2020 to FY2025).
- By year, Operating Leases came in at $12.43 million in FY2024 (+15.0%), $10.82 million in FY2023 (-0.3%), $10.85 million in FY2022 (+52.4%) and $7.12 million in FY2021 (+649.3%).
- Five-year quarterly Operating Leases spans a low of $436,000 in Q3 2021 and a high of $14.44 million in Q3 2025.
- Year over year, Operating Leases has now increased in each of the last eight quarters, with growth averaging 16.2% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was Q4 2021 (growth of 649.3%); the low point was Q3 2021 (a decline of 63.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.44 million (Q1 2026), $13.99 million (Q4 2025) and $14.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.29 Mn |
| Mar 31, 2026 | 13.44 Mn |
| Dec 31, 2025 | 13.99 Mn |
| Sep 30, 2025 | 14.44 Mn |
| Jun 30, 2025 | 12.75 Mn |
| Mar 31, 2025 | 11.67 Mn |
| Dec 31, 2024 | 12.43 Mn |
| Sep 30, 2024 | 11.96 Mn |
| Jun 30, 2024 | 9.47 Mn |
| Mar 31, 2024 | 10.12 Mn |
| Dec 31, 2023 | 10.82 Mn |
| Sep 30, 2023 | 11.46 Mn |
| Jun 30, 2023 | 11.67 Mn |
| Mar 31, 2023 | 11.87 Mn |
| Dec 31, 2022 | 10.85 Mn |
| Sep 30, 2022 | 10.03 Mn |
| Jun 30, 2022 | 10.23 Mn |
| Mar 31, 2022 | 6.79 Mn |
| Dec 31, 2021 | 7.12 Mn |
| Sep 30, 2021 | 436,000.00 |
API Access
Ufp Technologies Operating Leases 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=operating-leases&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();