Ufp Industries (UFPI) Finished Goods (2010 - 2026)
Ufp Industries (UFPI) posted Finished Goods of $350.99 million for Q2 2026, up 4.7% from $335.37 million a year earlier but down 10.6% from the prior quarter.
Powered by 
Analysis
Ufp Industries (UFPI) Finished Goods (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Industries' Finished Goods came in at $341.81 million, up 2.8% from FY2024.
- Annual Finished Goods shows a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior years, Ufp Industries' Finished Goods was $332.39 million in FY2024 (-11.4%), $375 million in FY2023 (-34.7%), $574.43 million in FY2022 (+5.0%) and $547.28 million in FY2021 (+118.2%).
- Quarterly Finished Goods has run from a low of $290.94 million in Q2 2024 to a high of $654.33 million in Q1 2022 over five years.
- On a year-over-year basis, Finished Goods has increased in each of the last six quarters, with growth averaging 0.2% over the last eight quarters.
- The strongest year-over-year quarter for Finished Goods in the past five years was Q3 2021, with growth of 119.7%; the weakest was Q2 2024, with a decline of 40.2%.
- According to Business Quant data, Finished Goods for the three prior quarters was $392.44 million (Q1 2026), $341.81 million (Q4 2025) and $313.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn |
| 10 | Ufp Industries | 4.41 Bn | 1.34 Bn | 244.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 357.93 Mn |
| Jun 27, 2026 | 350.99 Mn |
| Mar 28, 2026 | 392.44 Mn |
| Dec 27, 2025 | 341.81 Mn |
| Sep 27, 2025 | 313.40 Mn |
| Jun 28, 2025 | 335.37 Mn |
| Mar 29, 2025 | 366.50 Mn |
| Dec 28, 2024 | 332.39 Mn |
| Sep 28, 2024 | 308.25 Mn |
| Jun 29, 2024 | 290.94 Mn |
| Mar 30, 2024 | 334.34 Mn |
| Dec 30, 2023 | 375.00 Mn |
| Sep 30, 2023 | 428.12 Mn |
| Jul 1, 2023 | 486.89 Mn |
| Apr 1, 2023 | 534.50 Mn |
| Dec 31, 2022 | 574.43 Mn |
| Sep 24, 2022 | 581.12 Mn |
| Jun 25, 2022 | 615.38 Mn |
| Mar 26, 2022 | 654.33 Mn |
| Dec 25, 2021 | 547.28 Mn |
API Access
Ufp Industries Finished Goods 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=finished-goods&ticker=UFPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();