Ufp Technologies (UFPT) Long-Term Debt Repayments (2010 - 2026)
Ufp Technologies' Long-Term Debt Repayments was $3.13 million in Q2 2026, unchanged from $3.13 million a year earlier and unchanged from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ufp Technologies' Long-Term Debt Repayments was $12.5 million through Jun 30, 2026, up 33.3% year-over-year; for FY2025, it came in at $12.5 million, down 64.4% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 308.4% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $35.13 million in FY2024 (+778.1%), $4 million in FY2023 (unchanged), $4 million in FY2022 and $29,000 in FY2021 (+163.6%).
- Quarterly Long-Term Debt Repayments has moved between $2,000 (Q3 2021) and $30 million (Q2 2024) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in two of the last six quarters, with growth averaging 29.9%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q4 2021 (growth of 300.0%); the worst was Q2 2025 (a decline of 89.6%).
- Per Business Quant data, UFPT's Long-Term Debt Repayments in the three quarters before Q2 2026 was $3.13 million (Q1 2026), $3.13 million (Q4 2025) and $3.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | 1.41 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 | 2.00 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 | 3.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.13 Mn |
| Mar 31, 2026 | 3.14 Mn |
| Dec 31, 2025 | 3.14 Mn |
| Sep 30, 2025 | 3.14 Mn |
| Jun 30, 2025 | 3.14 Mn |
| Mar 31, 2025 | 3.14 Mn |
| Dec 31, 2024 | 3.14 Mn |
| Sep 30, 2024 | 17,000.00 |
| Jun 30, 2024 | 30.02 Mn |
| Mar 31, 2024 | 2.02 Mn |
| Dec 31, 2023 | 1.02 Mn |
| Sep 30, 2023 | 1.02 Mn |
| Jun 30, 2023 | 1.02 Mn |
| Mar 31, 2023 | 1.02 Mn |
| Dec 31, 2022 | 1.02 Mn |
| Sep 30, 2022 | 1.02 Mn |
| Jun 30, 2022 | 1.02 Mn |
| Mar 31, 2022 | 1.02 Mn |
| Dec 31, 2021 | 16,000.00 |
| Sep 30, 2021 | 2,000.00 |
API Access
Ufp Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();