Ufp Industries (UFPI) Selling, General & Administrative (2011 - 2026)
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Analysis
Ufp Industries (UFPI) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 1.41 Bn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 758.00 Mn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 314.17 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 489.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 268.50 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 381.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 263.60 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 186.10 Mn |
| 10 | Ufp Industries | 4.41 Bn | 1.34 Bn | 244.92 Mn | 178.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 178.09 Mn |
| Jun 27, 2026 | 185.72 Mn |
| Mar 28, 2026 | 172.88 Mn |
| Dec 27, 2025 | 159.73 Mn |
| Sep 27, 2025 | 170.03 Mn |
| Jun 28, 2025 | 185.00 Mn |
| Mar 29, 2025 | 176.25 Mn |
| Dec 28, 2024 | 156.49 Mn |
| Sep 28, 2024 | 183.34 Mn |
| Jun 29, 2024 | 203.16 Mn |
| Mar 30, 2024 | 192.06 Mn |
| Dec 30, 2023 | 171.60 Mn |
| Sep 30, 2023 | 195.65 Mn |
| Jul 1, 2023 | 204.70 Mn |
| Apr 1, 2023 | 194.68 Mn |
| Dec 31, 2022 | 183.06 Mn |
| Sep 24, 2022 | 214.33 Mn |
| Jun 25, 2022 | 214.54 Mn |
| Mar 26, 2022 | 220.15 Mn |
| Dec 25, 2021 | 178.15 Mn |
API Access
Ufp Industries Selling, General & Administrative 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=selling-general-and-administrative&ticker=UFPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();