Ufp Technologies (UFPT) Non-Current Assets (2010 - 2026)
Ufp Technologies (UFPT) reported Non-Current Assets of $447.02 million for Q2 2026, up 0.8% from $443.27 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Technologies posted Non-Current Assets of $454.08 million, up 4.6% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 28.2% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $434.05 million in FY2024 (+67.3%), $259.5 million in FY2023 (-0.9%), $261.85 million in FY2022 (+6.1%) and $246.81 million in FY2021 (+87.9%).
- Five-year quarterly Non-Current Assets spans a low of $129.55 million in Q3 2021 and a high of $454.85 million in Q3 2025.
- Year over year, Non-Current Assets has now increased in each of the last eight quarters, with growth averaging 36.1% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q2 2022 (growth of 105.9%); the low point was Q2 2023 (a decline of 3.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $450.58 million (Q1 2026), $454.08 million (Q4 2025) and $454.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 447.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 447.02 Mn |
| Mar 31, 2026 | 450.58 Mn |
| Dec 31, 2025 | 454.08 Mn |
| Sep 30, 2025 | 454.85 Mn |
| Jun 30, 2025 | 443.27 Mn |
| Mar 31, 2025 | 436.76 Mn |
| Dec 31, 2024 | 434.05 Mn |
| Sep 30, 2024 | 437.50 Mn |
| Jun 30, 2024 | 260.24 Mn |
| Mar 31, 2024 | 257.14 Mn |
| Dec 31, 2023 | 259.50 Mn |
| Sep 30, 2023 | 259.34 Mn |
| Jun 30, 2023 | 260.92 Mn |
| Mar 31, 2023 | 263.87 Mn |
| Dec 31, 2022 | 261.85 Mn |
| Sep 30, 2022 | 258.07 Mn |
| Jun 30, 2022 | 269.35 Mn |
| Mar 31, 2022 | 264.91 Mn |
| Dec 31, 2021 | 246.81 Mn |
| Sep 30, 2021 | 129.55 Mn |
API Access
Ufp Technologies 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=non-current-assets&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();