Ufp Technologies (UFPT) Other Non-Current Assets (2010 - 2026)
Ufp Technologies' Other Non-Current Assets came in at $8.09 million for Q2 2026, up 16.0% from $6.97 million a year earlier and up 11.4% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Technologies' Other Non-Current Assets was $7.47 million, up 20.9% from FY2024.
- Other Non-Current Assets has increased in each of the last three years, with a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- Going back by year, Other Non-Current Assets was $6.17 million in FY2024 (+16.0%), $5.32 million in FY2023 (+28.3%), $4.15 million in FY2022 (-4.1%) and $4.33 million in FY2021 (+16.2%).
- The Q2 2026 figure represents the highest quarterly Other Non-Current Assets in data going back to Q4 2010.
- Year-over-year, Other Non-Current Assets has increased for 14 consecutive quarters, with growth averaging 18.2% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in Q4 2023 (growth of 28.3%), and the weakest in Q3 2022 (a decline of 5.7%).
- Business Quant data shows UFPT's Other Non-Current Assets at $7.26 million (Q1 2026), $7.47 million (Q4 2025) and $7.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.62 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.39 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.23 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 616.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.55 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 8.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.09 Mn |
| Mar 31, 2026 | 7.26 Mn |
| Dec 31, 2025 | 7.47 Mn |
| Sep 30, 2025 | 7.33 Mn |
| Jun 30, 2025 | 6.97 Mn |
| Mar 31, 2025 | 6.40 Mn |
| Dec 31, 2024 | 6.17 Mn |
| Sep 30, 2024 | 6.16 Mn |
| Jun 30, 2024 | 5.79 Mn |
| Mar 31, 2024 | 5.71 Mn |
| Dec 31, 2023 | 5.32 Mn |
| Sep 30, 2023 | 4.82 Mn |
| Jun 30, 2023 | 4.95 Mn |
| Mar 31, 2023 | 4.71 Mn |
| Dec 31, 2022 | 4.15 Mn |
| Sep 30, 2022 | 3.88 Mn |
| Jun 30, 2022 | 4.01 Mn |
| Mar 31, 2022 | 4.43 Mn |
| Dec 31, 2021 | 4.33 Mn |
| Sep 30, 2021 | 4.12 Mn |
API Access
Ufp Technologies Other Non-Current Assets 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=other-non-current-assets&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();