Patrick Industries (PATK) Operating Expenses (2011 - 2026)
Patrick Industries (PATK) posted Operating Expenses of $170.54 million for Q2 2026, up 4.0% from $163.91 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Patrick Industries (PATK) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at Patrick Industries was $642.62 million, up 4.9% year-over-year; for FY2025, it came in at $636.87 million, up 10.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In prior years, Patrick Industries' Operating Expenses was $577.85 million in FY2024 (+10.7%), $522.03 million in FY2023 (-7.4%), $563.77 million in FY2022 (+25.4%) and $449.48 million in FY2021 (+57.4%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2011.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 9.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 65.1%; the weakest was Q2 2023, with a decline of 12.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $162.14 million (Q1 2026), $155.27 million (Q4 2025) and $154.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Patrick Industries | 2.22 Bn | 2.10 Bn | 247.58 Mn | 170.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 170.54 Mn |
| Mar 29, 2026 | 162.14 Mn |
| Dec 31, 2025 | 155.27 Mn |
| Sep 28, 2025 | 154.67 Mn |
| Jun 29, 2025 | 163.91 Mn |
| Mar 30, 2025 | 163.02 Mn |
| Dec 31, 2024 | 147.64 Mn |
| Sep 29, 2024 | 138.10 Mn |
| Jun 30, 2024 | 146.61 Mn |
| Mar 31, 2024 | 145.51 Mn |
| Dec 31, 2023 | 121.59 Mn |
| Oct 1, 2023 | 128.04 Mn |
| Jul 2, 2023 | 134.39 Mn |
| Apr 2, 2023 | 138.01 Mn |
| Dec 31, 2022 | 133.41 Mn |
| Sep 25, 2022 | 143.69 Mn |
| Jun 26, 2022 | 153.08 Mn |
| Mar 27, 2022 | 133.59 Mn |
| Dec 31, 2021 | 132.33 Mn |
| Sep 26, 2021 | 114.89 Mn |
API Access
Patrick Industries Operating Expenses 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-expenses&ticker=PATK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();