Patrick Industries (PATK) Sales of Property, Plant and Equipment (2010 - 2026)
Patrick Industries' Sales of Property, Plant and Equipment was $1.16 million in Q2 2026, up 681.1% from $148,000 a year earlier and up 136.4% from the prior quarter.
Patrick Industries (PATK) Sales of Property, Plant and Equipment (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Patrick Industries' Sales of Property, Plant and Equipment was $2.57 million through Jun 28, 2026, up 20.6% year-over-year; for FY2025, it came in at $2.76 million, up 14.3% from FY2024.
- Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of 67.2% (FY2020 to FY2025).
- In earlier years, Sales of Property, Plant and Equipment was $2.41 million in FY2024 (+77.0%), $1.36 million in FY2023 (-82.1%), $7.62 million in FY2022 and $197,000 in FY2021 (-6.6%).
- The Q2 2026 figure marks the highest quarterly Sales of Property, Plant and Equipment since Q1 2025.
- Compared with a year earlier, Sales of Property, Plant and Equipment was higher in four of the last eight quarters, with growth averaging 224.8%.
- The best year-over-year quarter for Sales of Property, Plant and Equipment over five years was Q1 2025 (growth of 908.4%); the worst was Q1 2023 (a decline of 98.7%).
- Per Business Quant data, PATK's Sales of Property, Plant and Equipment in the three quarters before Q2 2026 was $489,000 (Q1 2026), $515,000 (Q4 2025) and $408,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (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 | 1.26 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 | Patrick Industries | 2.16 Bn | 2.04 Bn | 247.58 Mn | 1.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.16 Mn |
| Mar 29, 2026 | 489,000.00 |
| Dec 31, 2025 | 515,000.00 |
| Sep 28, 2025 | 408,000.00 |
| Jun 29, 2025 | 148,000.00 |
| Mar 30, 2025 | 1.68 Mn |
| Dec 31, 2024 | 119,000.00 |
| Sep 29, 2024 | 178,000.00 |
| Jun 30, 2024 | 1.95 Mn |
| Mar 31, 2024 | 167,000.00 |
| Dec 31, 2023 | 416,000.00 |
| Oct 1, 2023 | 218,000.00 |
| Jul 2, 2023 | 636,000.00 |
| Apr 2, 2023 | 92,000.00 |
| Dec 31, 2022 | 179,000.00 |
| Sep 25, 2022 | 145,000.00 |
| Jun 26, 2022 | 150,000.00 |
| Mar 27, 2022 | 7.15 Mn |
| Dec 31, 2021 | 57,000.00 |
| Sep 26, 2021 | 28,000.00 |
Patrick Industries Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();