Ufp Technologies (UFPT) Prepaid Assets (2010 - 2026)
Ufp Technologies' Prepaid Assets was $8.39 million in Q2 2026, up 80.1% from $4.66 million a year earlier and up 10.5% from the prior quarter.
Powered by 
Analysis
Ufp Technologies (UFPT) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Prepaid Assets at Ufp Technologies came in at $5.62 million, up 30.6% from FY2024.
- Prepaid Assets has now increased for three consecutive years, with a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- In earlier years, Prepaid Assets was $4.3 million in FY2024 (+25.3%), $3.43 million in FY2023 (+5.9%), $3.24 million in FY2022 (-4.2%) and $3.38 million in FY2021 (+32.1%).
- The Q2 2026 figure marks the highest quarterly Prepaid Assets since Q2 2022.
- Compared with a year earlier, Prepaid Assets has increased for eight straight quarters, with growth averaging 40.5% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was Q2 2022 (growth of 290.7%); the worst was Q2 2023 (a decline of 59.8%).
- Per Business Quant data, UFPT's Prepaid Assets in the three quarters before Q2 2026 was $7.59 million (Q1 2026), $5.62 million (Q4 2025) and $6.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn |
| 10 | Ufp Technologies | 2.29 Bn | 2.23 Bn | 50.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.39 Mn |
| Mar 31, 2026 | 7.59 Mn |
| Dec 31, 2025 | 5.62 Mn |
| Sep 30, 2025 | 6.60 Mn |
| Jun 30, 2025 | 4.66 Mn |
| Mar 31, 2025 | 5.10 Mn |
| Dec 31, 2024 | 4.30 Mn |
| Sep 30, 2024 | 4.56 Mn |
| Jun 30, 2024 | 4.30 Mn |
| Mar 31, 2024 | 4.02 Mn |
| Dec 31, 2023 | 3.43 Mn |
| Sep 30, 2023 | 2.87 Mn |
| Jun 30, 2023 | 4.64 Mn |
| Mar 31, 2023 | 3.62 Mn |
| Dec 31, 2022 | 3.24 Mn |
| Sep 30, 2022 | 2.42 Mn |
| Jun 30, 2022 | 11.55 Mn |
| Mar 31, 2022 | 5.31 Mn |
| Dec 31, 2021 | 3.38 Mn |
| Sep 30, 2021 | 3.08 Mn |
API Access
Ufp Technologies Prepaid 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=prepaid-assets&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();