Ufp Industries (UFPI) EBITDA (2011 - 2026)
Ufp Industries' EBITDA came in at $147.18 million for Q2 2026, down 9.7% from $163.02 million a year earlier but up 40.8% from the prior quarter.
Ufp Industries (UFPI) EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Ufp Industries reported EBITDA of $482.64 million, down 15.2% year-over-year; for FY2025, it was $524.95 million, down 18.0% from FY2024.
- EBITDA has declined in each of the last three years, though with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Going back by year, EBITDA was $640.4 million in FY2024 (-17.7%), $778.42 million in FY2023 (-26.8%), $1.06 billion in FY2022 (+27.3%) and $835.69 million in FY2021 (+99.7%).
- The five-year range for quarterly EBITDA is $100.9 million (Q4 2025) to $311.83 million (Q2 2022).
- Year-over-year, EBITDA has declined for 15 consecutive quarters, with an average decline of 18.6% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2021 (growth of 105.9%), and the weakest in Q1 2023 (a decline of 32.6%).
- Business Quant data shows UFPI's EBITDA at $104.54 million (Q1 2026), $100.9 million (Q4 2025) and $130.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 601.28 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Ufp Industries | 4.38 Bn | 1.01 Bn | 290.24 Mn | 147.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 147.18 Mn |
| Mar 28, 2026 | 104.54 Mn |
| Dec 27, 2025 | 100.90 Mn |
| Sep 27, 2025 | 130.03 Mn |
| Jun 28, 2025 | 163.02 Mn |
| Mar 29, 2025 | 131.01 Mn |
| Dec 28, 2024 | 117.87 Mn |
| Sep 28, 2024 | 157.30 Mn |
| Jun 29, 2024 | 195.51 Mn |
| Mar 30, 2024 | 169.72 Mn |
| Dec 30, 2023 | 160.13 Mn |
| Sep 30, 2023 | 199.93 Mn |
| Jul 1, 2023 | 225.87 Mn |
| Apr 1, 2023 | 192.49 Mn |
| Dec 31, 2022 | 199.78 Mn |
| Sep 24, 2022 | 266.60 Mn |
| Jun 25, 2022 | 311.83 Mn |
| Mar 26, 2022 | 285.54 Mn |
| Dec 25, 2021 | 222.03 Mn |
| Sep 25, 2021 | 193.70 Mn |
Ufp Industries EBITDA 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=ebitda&ticker=UFPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();