Ufp Technologies (UFPT) Current Assets (2010 - 2026)
Ufp Technologies' Current Assets came in at $234.89 million for Q2 2026, up 22.7% from $191.39 million a year earlier and up 4.8% from the prior quarter.
Ufp Technologies (UFPT) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Technologies' Current Assets was $201 million, up 3.1% from FY2024.
- Current Assets has increased in each of the last six years, with a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- Going back by year, Current Assets was $194.95 million in FY2024 (+34.8%), $144.63 million in FY2023 (+24.3%), $116.35 million in FY2022 (+33.2%) and $87.32 million in FY2021 (+21.5%).
- The Q2 2026 figure represents the highest quarterly Current Assets in data going back to Q4 2010.
- Year-over-year, Current Assets has increased for three consecutive quarters, with growth averaging 20.7% over the last eight quarters.
- The fastest year-over-year change in Current Assets over five years came in Q2 2022 (growth of 45.4%), and the weakest in Q3 2025 (a decline of 1.5%).
- Business Quant data shows UFPT's Current Assets at $224.11 million (Q1 2026), $201 million (Q4 2025) and $197.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 23.37 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 24.52 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 13.38 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 9.54 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 24.39 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 14.42 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 7.97 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 6.82 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 8.14 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 234.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 234.89 Mn |
| Mar 31, 2026 | 224.11 Mn |
| Dec 31, 2025 | 201.00 Mn |
| Sep 30, 2025 | 197.97 Mn |
| Jun 30, 2025 | 191.39 Mn |
| Mar 31, 2025 | 205.89 Mn |
| Dec 31, 2024 | 194.95 Mn |
| Sep 30, 2024 | 201.01 Mn |
| Jun 30, 2024 | 162.16 Mn |
| Mar 31, 2024 | 150.54 Mn |
| Dec 31, 2023 | 144.63 Mn |
| Sep 30, 2023 | 140.47 Mn |
| Jun 30, 2023 | 137.07 Mn |
| Mar 31, 2023 | 126.92 Mn |
| Dec 31, 2022 | 116.35 Mn |
| Sep 30, 2022 | 130.25 Mn |
| Jun 30, 2022 | 125.70 Mn |
| Mar 31, 2022 | 98.44 Mn |
| Dec 31, 2021 | 87.32 Mn |
| Sep 30, 2021 | 91.13 Mn |
Ufp Technologies 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=current-assets&ticker=UFPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();