Patrick Industries (PATK) Other Operating Expenses (2011 - 2026)
Patrick Industries' Other Operating Expenses came in at $74.35 million for Q2 2026, up 5.2% from $70.7 million a year earlier and up 7.7% from the prior quarter.
Patrick Industries (PATK) Other Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Patrick Industries reported Other Operating Expenses of $278.88 million, up 3.8% year-over-year; for FY2025, it was $275.28 million, up 9.2% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $252.1 million in FY2024 (+13.2%), $222.62 million in FY2023 (-5.8%), $236.26 million in FY2022 (+20.6%) and $195.94 million in FY2021 (+40.7%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q1 2011.
- Year-over-year, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 9.3%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2021 (growth of 42.7%), and the weakest in Q2 2023 (a decline of 10.8%).
- Business Quant data shows PATK's Other Operating Expenses at $69.04 million (Q1 2026), $66.84 million (Q4 2025) and $68.65 million (Q3 2025) in the three quarters before Q2 2026.
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 | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Patrick Industries | 2.18 Bn | 2.06 Bn | 247.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 74.35 Mn |
| Mar 29, 2026 | 69.04 Mn |
| Dec 31, 2025 | 66.84 Mn |
| Sep 28, 2025 | 68.65 Mn |
| Jun 29, 2025 | 70.70 Mn |
| Mar 30, 2025 | 69.09 Mn |
| Dec 31, 2024 | 66.50 Mn |
| Sep 29, 2024 | 62.31 Mn |
| Jun 30, 2024 | 63.02 Mn |
| Mar 31, 2024 | 60.27 Mn |
| Dec 31, 2023 | 53.98 Mn |
| Oct 1, 2023 | 57.17 Mn |
| Jul 2, 2023 | 55.85 Mn |
| Apr 2, 2023 | 55.61 Mn |
| Dec 31, 2022 | 56.87 Mn |
| Sep 25, 2022 | 58.77 Mn |
| Jun 26, 2022 | 62.59 Mn |
| Mar 27, 2022 | 58.03 Mn |
| Dec 31, 2021 | 54.63 Mn |
| Sep 26, 2021 | 50.64 Mn |
Patrick Industries Other 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=other-operating-expenses&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();