Ufp Technologies (UFPT) Non-Current Deferred Tax Liability (2010 - 2026)
Ufp Technologies' Non-Current Deferred Tax Liability was $13.69 million in Q2 2026, up 153.1% from $5.41 million a year earlier and up 16.6% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Non-Current Deferred Tax Liability (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Deferred Tax Liability at Ufp Technologies came in at $9.21 million, up 179.5% from FY2024.
- Non-Current Deferred Tax Liability shows a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- In earlier years, Non-Current Deferred Tax Liability was $3.3 million in FY2024 (+670.1%), $428,000 in FY2023 (-4.5%), $448,000 in FY2022 (-86.3%) and $3.26 million in FY2021 (-35.5%).
- The Q2 2026 figure marks the highest quarterly Non-Current Deferred Tax Liability in data going back to Q4 2010.
- Compared with a year earlier, Non-Current Deferred Tax Liability has increased for four straight quarters, with growth averaging 365.4% over the last seven quarters.
- The best year-over-year quarter for Non-Current Deferred Tax Liability over five years was Q1 2025 (growth of 755.1%); the worst was Q3 2023 (a decline of 89.3%).
- Per Business Quant data, UFPT's Non-Current Deferred Tax Liability in the three quarters before Q2 2026 was $11.74 million (Q1 2026), $9.21 million (Q4 2025) and $7.57 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 | 13.69 Mn |
| Mar 31, 2026 | 11.74 Mn |
| Dec 31, 2025 | 9.21 Mn |
| Sep 30, 2025 | 7.57 Mn |
| Jun 30, 2025 | 5.41 Mn |
| Mar 31, 2025 | 4.92 Mn |
| Dec 31, 2024 | 3.30 Mn |
| Sep 30, 2024 | 2.44 Mn |
| Jun 30, 2024 | 182,000.00 |
| Mar 31, 2024 | 575,000.00 |
| Dec 31, 2023 | 428,000.00 |
| Sep 30, 2023 | 443,000.00 |
| Jun 30, 2023 | 458,000.00 |
| Dec 31, 2022 | 448,000.00 |
| Sep 30, 2022 | 4.13 Mn |
| Jun 30, 2022 | 3.33 Mn |
| Mar 31, 2022 | 3.44 Mn |
| Dec 31, 2021 | 3.26 Mn |
| Sep 30, 2021 | 5.54 Mn |
| Jun 30, 2021 | 5.44 Mn |
API Access
Ufp Technologies Non-Current Deferred Tax Liability 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-deferred-tax-liability&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deferred-tax-liability", "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-deferred-tax-liability&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();