Ufp Industries (UFPI) Profit After Tax (2011 - 2026)
Ufp Industries' Profit After Tax was $83.17 million in Q2 2026, down 17.5% from $100.87 million a year earlier but up 62.8% from the prior quarter.
Ufp Industries (UFPI) Profit After Tax (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ufp Industries' Profit After Tax was $249.97 million through Jun 27, 2026, down 28.9% year-over-year; for FY2025, it was $295.99 million, down 29.3% from FY2024.
- Profit After Tax has now declined for three consecutive years, though with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In earlier years, Profit After Tax was $418.73 million in FY2024 (-18.6%), $514.46 million in FY2023 (-27.0%), $704.96 million in FY2022 (+27.6%) and $552.36 million in FY2021 (+117.6%).
- Quarterly Profit After Tax has moved between $40.16 million (Q4 2025) and $207.85 million (Q2 2022) over five years.
- Compared with a year earlier, Profit After Tax has declined for 15 straight quarters, with an average decline of 29.1% over the last eight quarters.
- The best year-over-year quarter for Profit After Tax over five years was Q4 2021 (growth of 127.0%); the worst was Q4 2025 (a decline of 42.5%).
- Per Business Quant data, UFPI's Profit After Tax in the three quarters before Q2 2026 was $51.1 million (Q1 2026), $40.16 million (Q4 2025) and $75.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 944.90 Mn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 752.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 441.60 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 541.00 Mn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 449.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 104.30 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 333.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 184.60 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 257.70 Mn |
| 10 | Ufp Industries | 4.26 Bn | 888.36 Mn | 290.24 Mn | 83.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 83.17 Mn |
| Mar 28, 2026 | 51.10 Mn |
| Dec 27, 2025 | 40.16 Mn |
| Sep 27, 2025 | 75.54 Mn |
| Jun 28, 2025 | 100.87 Mn |
| Mar 29, 2025 | 79.42 Mn |
| Dec 28, 2024 | 69.78 Mn |
| Sep 28, 2024 | 101.62 Mn |
| Jun 29, 2024 | 126.23 Mn |
| Mar 30, 2024 | 121.10 Mn |
| Dec 30, 2023 | 103.91 Mn |
| Sep 30, 2023 | 134.18 Mn |
| Jul 1, 2023 | 150.79 Mn |
| Apr 1, 2023 | 125.58 Mn |
| Dec 31, 2022 | 131.88 Mn |
| Sep 24, 2022 | 172.10 Mn |
| Jun 25, 2022 | 207.85 Mn |
| Mar 26, 2022 | 193.13 Mn |
| Dec 25, 2021 | 147.01 Mn |
| Sep 25, 2021 | 125.75 Mn |
Ufp Industries Profit After Tax 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=profit-after-tax&ticker=UFPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();