Patrick Industries (PATK) Operating Leases (2019 - 2026)
Patrick Industries' Operating Leases was $174.72 million in Q2 2026, up 25.1% from $139.69 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Patrick Industries (PATK) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Patrick Industries came in at $148.89 million, down 1.4% from FY2024.
- Operating Leases shows a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In earlier years, Operating Leases was $151.03 million in FY2024 (+14.0%), $132.44 million in FY2023 (+8.1%), $122.47 million in FY2022 (+1.9%) and $120.16 million in FY2021 (+36.3%).
- The Q2 2026 figure marks the highest quarterly Operating Leases in data going back to Q1 2019.
- Compared with a year earlier, Operating Leases was higher in five of the last eight quarters, with growth averaging 8.8%.
- The best year-over-year quarter for Operating Leases over five years was Q3 2021 (growth of 40.2%); the worst was Q1 2023 (a decline of 4.7%).
- Per Business Quant data, PATK's Operating Leases in the three quarters before Q2 2026 was $163.75 million (Q1 2026), $148.89 million (Q4 2025) and $150.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn |
| 10 | Patrick Industries | 2.22 Bn | 2.10 Bn | 247.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 174.72 Mn |
| Mar 29, 2026 | 163.75 Mn |
| Dec 31, 2025 | 148.89 Mn |
| Sep 28, 2025 | 150.99 Mn |
| Jun 29, 2025 | 139.69 Mn |
| Mar 30, 2025 | 147.90 Mn |
| Dec 31, 2024 | 151.03 Mn |
| Sep 29, 2024 | 156.08 Mn |
| Jun 30, 2024 | 142.68 Mn |
| Mar 31, 2024 | 142.80 Mn |
| Dec 31, 2023 | 132.44 Mn |
| Oct 1, 2023 | 126.23 Mn |
| Jul 2, 2023 | 127.61 Mn |
| Apr 2, 2023 | 124.37 Mn |
| Dec 31, 2022 | 122.47 Mn |
| Sep 25, 2022 | 124.29 Mn |
| Jun 26, 2022 | 125.20 Mn |
| Mar 27, 2022 | 130.55 Mn |
| Dec 31, 2021 | 120.16 Mn |
| Sep 26, 2021 | 107.75 Mn |
API Access
Patrick Industries Operating Leases 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=operating-leases&ticker=PATK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();