Ufp Industries (UFPI) Tax Provisions (2011 - 2026)
Ufp Industries' Tax Provisions came in at $29.69 million for Q2 2026, down 4.5% from $31.07 million a year earlier but up 87.4% from the prior quarter.
Ufp Industries (UFPI) Tax Provisions (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Ufp Industries reported Tax Provisions of $89.46 million, down 15.7% year-over-year; for FY2025, it was $96.25 million, down 20.7% from FY2024.
- Tax Provisions has declined in each of the last three years, though with a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $121.42 million in FY2024 (-22.6%), $156.78 million in FY2023 (-31.8%), $229.85 million in FY2022 (+32.1%) and $173.97 million in FY2021 (+99.7%).
- The five-year range for quarterly Tax Provisions is $15.85 million (Q1 2026) to $69.15 million (Q2 2022).
- Year-over-year, Tax Provisions has declined for 15 consecutive quarters, with an average decline of 19.4% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q4 2021 (growth of 97.7%), and the weakest in Q1 2023 (a decline of 36.1%).
- Business Quant data shows UFPI's Tax Provisions at $15.85 million (Q1 2026), $20.33 million (Q4 2025) and $23.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 219.90 Mn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 165.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 177.00 Mn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 146.01 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 126.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 77.60 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 82.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 46.90 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 62.50 Mn |
| 10 | Ufp Industries | 4.41 Bn | 1.34 Bn | 244.92 Mn | 18.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 18.24 Mn |
| Jun 27, 2026 | 29.69 Mn |
| Mar 28, 2026 | 15.85 Mn |
| Dec 27, 2025 | 20.33 Mn |
| Sep 27, 2025 | 23.59 Mn |
| Jun 28, 2025 | 31.07 Mn |
| Mar 29, 2025 | 21.26 Mn |
| Dec 28, 2024 | 21.24 Mn |
| Sep 28, 2024 | 32.49 Mn |
| Jun 29, 2024 | 42.21 Mn |
| Mar 30, 2024 | 25.49 Mn |
| Dec 30, 2023 | 31.75 Mn |
| Sep 30, 2023 | 39.33 Mn |
| Jul 1, 2023 | 46.73 Mn |
| Apr 1, 2023 | 38.97 Mn |
| Dec 31, 2022 | 41.16 Mn |
| Sep 24, 2022 | 58.56 Mn |
| Jun 25, 2022 | 69.15 Mn |
| Mar 26, 2022 | 60.98 Mn |
| Dec 25, 2021 | 46.06 Mn |
Ufp Industries 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=UFPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "UFPI", "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=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();