Patrick Industries (PATK) Selling, General & Administrative (2011 - 2026)
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Analysis
Patrick Industries (PATK) 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 | 92.47 Bn | 87.09 Bn | 2.38 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 85.88 Bn | 83.61 Bn | 2.47 Bn | 1.41 Bn |
| 3 | Carrier Global | 43.83 Bn | 38.20 Bn | 1.90 Bn | 758.00 Mn |
| 4 | Comfort Systems Usa | 39.03 Bn | 32.98 Bn | 934.48 Mn | 314.17 Mn |
| 5 | Otis Worldwide | 30.08 Bn | 26.47 Bn | 1.16 Bn | 489.00 Mn |
| 6 | James Hardie Industries | 17.47 Bn | 16.40 Bn | 562.40 Mn | 268.50 Mn |
| 7 | Masco | 16.84 Bn | 14.64 Bn | 720.00 Mn | 381.00 Mn |
| 8 | Allegion | 16.15 Bn | 14.78 Bn | 548.20 Mn | 263.60 Mn |
| 9 | Carlisle Companies | 15.63 Bn | 12.54 Bn | 494.90 Mn | 186.10 Mn |
| 10 | Patrick Industries | 2.58 Bn | 2.47 Bn | 229.89 Mn | 107.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 107.90 Mn |
| Jun 28, 2026 | 96.19 Mn |
| Mar 29, 2026 | 93.10 Mn |
| Dec 31, 2025 | 88.43 Mn |
| Sep 28, 2025 | 86.02 Mn |
| Jun 29, 2025 | 93.21 Mn |
| Mar 30, 2025 | 93.93 Mn |
| Dec 31, 2024 | 81.14 Mn |
| Sep 29, 2024 | 75.78 Mn |
| Jun 30, 2024 | 83.59 Mn |
| Mar 31, 2024 | 85.25 Mn |
| Dec 31, 2023 | 67.60 Mn |
| Oct 1, 2023 | 70.87 Mn |
| Jul 2, 2023 | 78.54 Mn |
| Apr 2, 2023 | 82.40 Mn |
| Dec 31, 2022 | 76.54 Mn |
| Sep 25, 2022 | 84.92 Mn |
| Jun 26, 2022 | 90.49 Mn |
| Mar 27, 2022 | 75.56 Mn |
| Dec 31, 2021 | 77.71 Mn |
API Access
Patrick 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=PATK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "PATK", "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=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();