Ufp Industries (UFPI) Other Accumulated Expenses (2010 - 2026)
Ufp Industries (UFPI) posted Other Accumulated Expenses of $87.14 million for Q2 2026, up 2.1% from $85.34 million a year earlier and up 14.8% from the prior quarter.
Ufp Industries (UFPI) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Industries' Other Accumulated Expenses came in at $71.04 million, up 13.9% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In prior years, Ufp Industries' Other Accumulated Expenses was $62.36 million in FY2024 (-6.5%), $66.71 million in FY2023 (-16.9%), $80.26 million in FY2022 (-5.4%) and $84.85 million in FY2021 (+22.8%).
- The Q2 2026 figure stands as the highest quarterly Other Accumulated Expenses since Q3 2022.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last five quarters, with growth averaging 4.6% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q1 2022, with growth of 30.4%; the weakest was Q3 2023, with a decline of 29.5%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $75.91 million (Q1 2026), $71.04 million (Q4 2025) and $82.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn |
| 10 | Ufp Industries | 4.26 Bn | 888.36 Mn | 290.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 87.14 Mn |
| Mar 28, 2026 | 75.91 Mn |
| Dec 27, 2025 | 71.04 Mn |
| Sep 27, 2025 | 82.54 Mn |
| Jun 28, 2025 | 85.34 Mn |
| Mar 29, 2025 | 63.11 Mn |
| Dec 28, 2024 | 62.36 Mn |
| Sep 28, 2024 | 76.79 Mn |
| Jun 29, 2024 | 80.51 Mn |
| Mar 30, 2024 | 66.03 Mn |
| Dec 30, 2023 | 66.71 Mn |
| Sep 30, 2023 | 78.69 Mn |
| Jul 1, 2023 | 79.41 Mn |
| Apr 1, 2023 | 77.05 Mn |
| Dec 31, 2022 | 80.26 Mn |
| Sep 24, 2022 | 111.60 Mn |
| Jun 25, 2022 | 107.11 Mn |
| Mar 26, 2022 | 102.43 Mn |
| Dec 25, 2021 | 84.85 Mn |
| Sep 25, 2021 | 90.35 Mn |
Ufp Industries Other Accumulated 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=other-accumulated-expenses&ticker=UFPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();