Ufp Industries (UFPI) Dividends Paid - Common and Preferred (2011 - 2026)
Analysis
Ufp Industries (UFPI) Dividends Paid - Common and Preferred (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 230.50 Mn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 245.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 198.00 Mn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 31.60 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 168.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | - |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 62.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 46.20 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 49.50 Mn |
| 10 | Ufp Industries | 4.41 Bn | 1.34 Bn | 244.92 Mn | 19.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 19.81 Mn |
| Jun 27, 2026 | 19.93 Mn |
| Mar 28, 2026 | 20.46 Mn |
| Dec 27, 2025 | 19.86 Mn |
| Sep 27, 2025 | 20.51 Mn |
| Jun 28, 2025 | 20.66 Mn |
| Mar 29, 2025 | 21.32 Mn |
| Dec 28, 2024 | 20.06 Mn |
| Sep 28, 2024 | 20.06 Mn |
| Jun 29, 2024 | 20.25 Mn |
| Mar 30, 2024 | 20.41 Mn |
| Dec 30, 2023 | 18.52 Mn |
| Sep 30, 2023 | 18.57 Mn |
| Jul 1, 2023 | 15.51 Mn |
| Apr 1, 2023 | 15.64 Mn |
| Dec 31, 2022 | 15.44 Mn |
| Sep 24, 2022 | 15.41 Mn |
| Jun 25, 2022 | 15.47 Mn |
| Mar 26, 2022 | 12.54 Mn |
| Dec 25, 2021 | 12.38 Mn |
API Access
Ufp Industries Dividends Paid - Common and Preferred 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=dividends-paid-common-and-prefferd&ticker=UFPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "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=dividends-paid-common-and-prefferd&ticker=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();