Ufp Technologies (UFPT) Tax Provisions (2010 - 2026)
Ufp Technologies (UFPT) posted Tax Provisions of $5.58 million for Q2 2026, up 25.4% from $4.45 million a year earlier and up 35.6% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Ufp Technologies was $16.35 million, up 8.1% year-over-year; for FY2025, it was $14.2 million, up 1.1% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 37.3% (FY2020 to FY2025).
- In prior years, Ufp Technologies' Tax Provisions was $14.04 million in FY2024 (+56.4%), $8.98 million in FY2023 (-17.9%), $10.93 million in FY2022 (+105.5%) and $5.32 million in FY2021 (+82.5%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q3 2022.
- On a year-over-year basis, Tax Provisions increased in six of the last eight quarters, with growth averaging 127.3%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2024, with growth of 859.2%; the weakest was Q4 2023, with a decline of 78.3%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $4.11 million (Q1 2026), $1.98 million (Q4 2025) and $4.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 278.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 102.00 Mn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 5.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.58 Mn |
| Mar 31, 2026 | 4.11 Mn |
| Dec 31, 2025 | 1.98 Mn |
| Sep 30, 2025 | 4.68 Mn |
| Jun 30, 2025 | 4.45 Mn |
| Mar 31, 2025 | 3.10 Mn |
| Dec 31, 2024 | 2.72 Mn |
| Sep 30, 2024 | 4.86 Mn |
| Jun 30, 2024 | 3.82 Mn |
| Mar 31, 2024 | 2.64 Mn |
| Dec 31, 2023 | 284,000.00 |
| Sep 30, 2023 | 2.45 Mn |
| Jun 30, 2023 | 4.09 Mn |
| Mar 31, 2023 | 2.16 Mn |
| Dec 31, 2022 | 1.31 Mn |
| Sep 30, 2022 | 5.70 Mn |
| Jun 30, 2022 | 2.69 Mn |
| Mar 31, 2022 | 1.23 Mn |
| Dec 31, 2021 | 1.41 Mn |
| Sep 30, 2021 | 1.27 Mn |
API Access
Ufp Technologies Tax Provisions 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=tax-provisions&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();