Ufp Industries (UFPI) Operating Income (2011 - 2026)
Ufp Industries (UFPI) reported Operating Income of $103.42 million for Q2 2026, down 16.0% from $123.09 million a year earlier but up 61.4% from the prior quarter.
Ufp Industries (UFPI) Operating Income (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Ufp Industries' Operating Income came in at $316.06 million, down 23.8% year-over-year; for FY2025, it came in at $363.9 million, down 26.1% from FY2024.
- Operating Income has declined for three consecutive years, though with a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- By year, Operating Income came in at $492.24 million in FY2024 (-23.9%), $646.53 million in FY2023 (-32.0%), $950.18 million in FY2022 (+28.8%) and $737.55 million in FY2021 (+113.3%).
- Five-year quarterly Operating Income spans a low of $59.09 million in Q4 2025 and a high of $285.57 million in Q2 2022.
- Year over year, Operating Income has now declined in each of the last 15 quarters, with an average decline of 26.9% over the last eight quarters.
- The high point for year-over-year Operating Income in five years was Q4 2021 (growth of 121.0%); the low point was Q1 2023 (a decline of 37.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $64.08 million (Q1 2026), $59.09 million (Q4 2025) and $89.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.22 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 987.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 557.97 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 825.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 575.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 217.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 470.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 254.70 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 352.50 Mn |
| 10 | Ufp Industries | 4.26 Bn | 892.22 Mn | 290.24 Mn | 103.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 103.42 Mn |
| Mar 28, 2026 | 64.08 Mn |
| Dec 27, 2025 | 59.09 Mn |
| Sep 27, 2025 | 89.47 Mn |
| Jun 28, 2025 | 123.09 Mn |
| Mar 29, 2025 | 92.25 Mn |
| Dec 28, 2024 | 79.46 Mn |
| Sep 28, 2024 | 119.93 Mn |
| Jun 29, 2024 | 159.03 Mn |
| Mar 30, 2024 | 133.82 Mn |
| Dec 30, 2023 | 124.00 Mn |
| Sep 30, 2023 | 167.33 Mn |
| Jul 1, 2023 | 193.50 Mn |
| Apr 1, 2023 | 161.71 Mn |
| Dec 31, 2022 | 168.55 Mn |
| Sep 24, 2022 | 237.04 Mn |
| Jun 25, 2022 | 285.57 Mn |
| Mar 26, 2022 | 259.03 Mn |
| Dec 25, 2021 | 195.01 Mn |
| Sep 25, 2021 | 168.13 Mn |
Ufp Industries Operating Income 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=operating-income&ticker=UFPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();