Ufp Industries (UFPI) Cash & Equivalents (2010 - 2026)
Ufp Industries' Cash & Equivalents was $597.26 million in Q2 2026, down 29.1% from $841.93 million a year earlier and down 16.4% from the prior quarter.
Ufp Industries (UFPI) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Ufp Industries came in at $914.2 million, down 22.0% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $1.17 billion in FY2024 (+4.8%), $1.12 billion in FY2023 (+99.9%), $559.4 million in FY2022 (+95.1%) and $286.66 million in FY2021 (-34.3%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q1 2023.
- Compared with a year earlier, Cash & Equivalents has declined for six straight quarters, with an average decline of 10.6% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2023 (growth of 468.1%); the worst was Q3 2021 (a decline of 54.9%).
- Per Business Quant data, UFPI's Cash & Equivalents in the three quarters before Q2 2026 was $714.45 million (Q1 2026), $914.2 million (Q4 2025) and $1.01 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 665.30 Mn |
| 10 | Ufp Industries | 4.26 Bn | 888.36 Mn | 290.24 Mn | 597.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 597.26 Mn |
| Mar 28, 2026 | 714.45 Mn |
| Dec 27, 2025 | 914.20 Mn |
| Sep 27, 2025 | 1.01 Bn |
| Jun 28, 2025 | 841.93 Mn |
| Mar 29, 2025 | 903.56 Mn |
| Dec 28, 2024 | 1.17 Bn |
| Sep 28, 2024 | 1.19 Bn |
| Jun 29, 2024 | 1.04 Bn |
| Mar 30, 2024 | 979.75 Mn |
| Dec 30, 2023 | 1.12 Bn |
| Sep 30, 2023 | 957.09 Mn |
| Jul 1, 2023 | 702.15 Mn |
| Apr 1, 2023 | 423.30 Mn |
| Dec 31, 2022 | 559.40 Mn |
| Sep 24, 2022 | 449.86 Mn |
| Jun 25, 2022 | 138.80 Mn |
| Mar 26, 2022 | 74.51 Mn |
| Dec 25, 2021 | 286.66 Mn |
| Sep 25, 2021 | 156.23 Mn |
Ufp Industries Cash & Equivalents 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=cash-and-equivalents&ticker=UFPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();