Ufp Technologies (UFPT) Non-Current Debt (2010 - 2026)
Ufp Technologies (UFPT) reported Non-Current Debt of $104.81 million for Q2 2026, down 30.7% from $151.13 million a year earlier and down 16.2% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Technologies posted Non-Current Debt of $122.96 million, down 30.5% from FY2024.
- Non-Current Debt has a four-year compound annual growth rate of 14.7% (FY2021 to FY2025).
- By year, Non-Current Debt came in at $176.88 million in FY2024 (+531.7%), $28 million in FY2023 (-45.1%), $51 million in FY2022 (-28.2%) and $71 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Debt since Q2 2024.
- Year over year, Non-Current Debt has now declined in each of the last four quarters, with growth averaging 202.4% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was Q4 2024 (growth of 531.7%); the low point was Q1 2024 (a decline of 46.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $125.11 million (Q1 2026), $122.96 million (Q4 2025) and $133.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 13.51 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 104.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.81 Mn |
| Mar 31, 2026 | 125.11 Mn |
| Dec 31, 2025 | 122.96 Mn |
| Sep 30, 2025 | 133.62 Mn |
| Jun 30, 2025 | 151.13 Mn |
| Mar 31, 2025 | 170.25 Mn |
| Dec 31, 2024 | 176.88 Mn |
| Sep 30, 2024 | 199.50 Mn |
| Jun 30, 2024 | 35.20 Mn |
| Mar 31, 2024 | 30.00 Mn |
| Dec 31, 2023 | 28.00 Mn |
| Sep 30, 2023 | 39.00 Mn |
| Jun 30, 2023 | 53.00 Mn |
| Mar 31, 2023 | 56.00 Mn |
| Dec 31, 2022 | 51.00 Mn |
| Sep 30, 2022 | 67.00 Mn |
| Jun 30, 2022 | 96.00 Mn |
| Mar 31, 2022 | 91.00 Mn |
| Dec 31, 2021 | 71.00 Mn |
| Sep 30, 2019 | 12.14 Mn |
API Access
Ufp Technologies Non-Current Debt 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-debt&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();