Patrick Industries (PATK) Operating Income (2011 - 2026)
Patrick Industries' Operating Income was $49.84 million in Q3 2026, down 24.8% from $66.29 million a year earlier and down 35.3% from the prior quarter.
Patrick Industries (PATK) Operating Income (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Patrick Industries' Operating Income was $249 million through Sep 27, 2026, down 3.6% year-over-year; for FY2025, it came in at $275.99 million, up 7.0% from FY2024.
- Operating Income shows a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- In earlier years, Operating Income was $258.04 million in FY2024 (-0.8%), $260.2 million in FY2023 (-47.6%), $496.17 million in FY2022 (+41.1%) and $351.71 million in FY2021 (+102.9%).
- The Q3 2026 figure marks the lowest quarterly Operating Income since Q4 2024.
- Compared with a year earlier, Operating Income has declined for three straight quarters, with an average decline of 2.7% over the last eight quarters.
- The best year-over-year quarter for Operating Income over five years was Q1 2022 (growth of 136.2%); the worst was Q1 2023 (a decline of 65.2%).
- Per Business Quant data, PATK's Operating Income in the three quarters before Q3 2026 was $77.04 million (Q2 2026), $64.72 million (Q1 2026) and $57.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.47 Bn | 87.09 Bn | 2.38 Bn | 1.34 Bn |
| 2 | Johnson Controls International | 85.88 Bn | 83.61 Bn | 2.47 Bn | 987.00 Mn |
| 3 | Carrier Global | 43.83 Bn | 38.20 Bn | 1.90 Bn | -2.27 Bn |
| 4 | Comfort Systems Usa | 39.03 Bn | 32.98 Bn | 934.48 Mn | 624.57 Mn |
| 5 | Otis Worldwide | 30.08 Bn | 26.47 Bn | 1.16 Bn | 620.00 Mn |
| 6 | James Hardie Industries | 17.47 Bn | 16.40 Bn | 562.40 Mn | 263.30 Mn |
| 7 | Masco | 16.84 Bn | 14.64 Bn | 720.00 Mn | 338.00 Mn |
| 8 | Allegion | 16.15 Bn | 14.78 Bn | 548.20 Mn | 284.60 Mn |
| 9 | Carlisle Companies | 15.63 Bn | 12.54 Bn | 494.90 Mn | 293.20 Mn |
| 10 | Patrick Industries | 2.58 Bn | 2.47 Bn | 229.89 Mn | 49.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 49.84 Mn |
| Jun 28, 2026 | 77.04 Mn |
| Mar 29, 2026 | 64.72 Mn |
| Dec 31, 2025 | 57.41 Mn |
| Sep 28, 2025 | 66.29 Mn |
| Jun 29, 2025 | 86.72 Mn |
| Mar 30, 2025 | 65.57 Mn |
| Dec 31, 2024 | 39.59 Mn |
| Sep 29, 2024 | 74.42 Mn |
| Jun 30, 2024 | 84.69 Mn |
| Mar 31, 2024 | 59.34 Mn |
| Dec 31, 2023 | 57.32 Mn |
| Oct 1, 2023 | 71.08 Mn |
| Jul 2, 2023 | 75.58 Mn |
| Apr 2, 2023 | 56.23 Mn |
| Dec 31, 2022 | 67.63 Mn |
| Sep 25, 2022 | 92.76 Mn |
| Jun 26, 2022 | 174.03 Mn |
| Mar 27, 2022 | 161.76 Mn |
| Dec 31, 2021 | 94.69 Mn |
Patrick Industries Operating Income 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-income&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();