Ufp Industries (UFPI) Operating Expenses (2011 - 2026)
Ufp Industries' Operating Expenses came in at $186.82 million for Q2 2026, down 1.5% from $189.64 million a year earlier but up 8.7% from the prior quarter.
Ufp Industries (UFPI) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Ufp Industries reported Operating Expenses of $688.39 million, down 2.4% year-over-year; for FY2025, it came in at $696.25 million, down 5.2% from FY2024.
- Operating Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $734.5 million in FY2024 (-4.9%), $772.4 million in FY2023 (-7.2%), $832.08 million in FY2022 (+22.0%) and $682.25 million in FY2021 (+53.5%).
- The five-year range for quarterly Operating Expenses is $156.49 million (Q4 2024) to $220.15 million (Q1 2022).
- Year-over-year, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 4.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 105.2%), and the weakest in Q1 2023 (a decline of 11.6%).
- Business Quant data shows UFPI's Operating Expenses at $171.81 million (Q1 2026), $159.73 million (Q4 2025) and $170.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Ufp Industries | 4.38 Bn | 1.01 Bn | 290.24 Mn | 186.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 186.82 Mn |
| Mar 28, 2026 | 171.81 Mn |
| Dec 27, 2025 | 159.73 Mn |
| Sep 27, 2025 | 170.03 Mn |
| Jun 28, 2025 | 189.64 Mn |
| Mar 29, 2025 | 175.94 Mn |
| Dec 28, 2024 | 156.49 Mn |
| Sep 28, 2024 | 183.34 Mn |
| Jun 29, 2024 | 203.16 Mn |
| Mar 30, 2024 | 192.06 Mn |
| Dec 30, 2023 | 171.60 Mn |
| Sep 30, 2023 | 195.65 Mn |
| Jul 1, 2023 | 204.70 Mn |
| Apr 1, 2023 | 194.68 Mn |
| Dec 31, 2022 | 183.06 Mn |
| Sep 24, 2022 | 214.33 Mn |
| Jun 25, 2022 | 214.54 Mn |
| Mar 26, 2022 | 220.15 Mn |
| Dec 25, 2021 | 178.15 Mn |
| Sep 25, 2021 | 169.47 Mn |
Ufp Industries Operating Expenses 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-expenses&ticker=UFPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();