Ufp Technologies (UFPT) Other Non-Current Liabilities (2014 - 2026)
Ufp Technologies' Other Non-Current Liabilities was $6.69 million in Q2 2026, up 2.6% from $6.52 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Other Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Ufp Technologies came in at $6.66 million, down 40.3% from FY2024.
- Other Non-Current Liabilities has now declined for three consecutive years, though with a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $11.14 million in FY2024 (-26.6%), $15.18 million in FY2023 (-16.7%), $18.22 million in FY2022 (+20.0%) and $15.19 million in FY2021 (+298.6%).
- Quarterly Other Non-Current Liabilities has moved between $4.05 million (Q3 2021) and $20.58 million (Q2 2022) over five years.
- Compared with a year earlier, Other Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 27.8%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q2 2022 (growth of 417.0%); the worst was Q4 2025 (a decline of 40.3%).
- Per Business Quant data, UFPT's Other Non-Current Liabilities in the three quarters before Q2 2026 was $6.74 million (Q1 2026), $6.66 million (Q4 2025) and $6.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.69 Mn |
| Mar 31, 2026 | 6.74 Mn |
| Dec 31, 2025 | 6.66 Mn |
| Sep 30, 2025 | 6.78 Mn |
| Jun 30, 2025 | 6.52 Mn |
| Mar 31, 2025 | 8.82 Mn |
| Dec 31, 2024 | 11.14 Mn |
| Sep 30, 2024 | 10.94 Mn |
| Jun 30, 2024 | 9.76 Mn |
| Mar 31, 2024 | 13.82 Mn |
| Dec 31, 2023 | 15.18 Mn |
| Sep 30, 2023 | 15.04 Mn |
| Jun 30, 2023 | 14.59 Mn |
| Mar 31, 2023 | 19.48 Mn |
| Dec 31, 2022 | 18.22 Mn |
| Sep 30, 2022 | 19.55 Mn |
| Jun 30, 2022 | 20.58 Mn |
| Mar 31, 2022 | 19.56 Mn |
| Dec 31, 2021 | 15.19 Mn |
| Sep 30, 2021 | 4.05 Mn |
API Access
Ufp Technologies Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();