Patrick Industries (PATK) Net Income (2011 - 2026)
Patrick Industries' Net Income was $43.42 million in Q2 2026, up 33.9% from $32.44 million a year earlier and up 10.0% from the prior quarter.
Patrick Industries (PATK) Net Income (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Patrick Industries' Net Income was $147.28 million through Jun 28, 2026, up 16.8% year-over-year; for FY2025, it was $135.06 million, down 2.4% from FY2024.
- Net Income has now declined for three consecutive years, though with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier years, Net Income was $138.4 million in FY2024 (-3.1%), $142.9 million in FY2023 (-56.5%), $328.2 million in FY2022 (+45.9%) and $224.92 million in FY2021 (+131.7%).
- The Q2 2026 figure marks the highest quarterly Net Income since Q2 2024.
- Compared with a year earlier, Net Income has increased for three straight quarters, with growth averaging 6.3% over the last eight quarters.
- The best year-over-year quarter for Net Income over five years was Q1 2022 (growth of 137.1%); the worst was Q1 2023 (a decline of 73.2%).
- Per Business Quant data, PATK's Net Income in the three quarters before Q2 2026 was $39.48 million (Q1 2026), $29.08 million (Q4 2025) and $35.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 935.30 Mn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 752.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 441.60 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 541.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 449.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 104.30 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 333.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 184.60 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 255.20 Mn |
| 10 | Patrick Industries | 2.18 Bn | 2.06 Bn | 247.58 Mn | 43.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 43.42 Mn |
| Mar 29, 2026 | 39.48 Mn |
| Dec 31, 2025 | 29.08 Mn |
| Sep 28, 2025 | 35.30 Mn |
| Jun 29, 2025 | 32.44 Mn |
| Mar 30, 2025 | 38.24 Mn |
| Dec 31, 2024 | 14.56 Mn |
| Sep 29, 2024 | 40.87 Mn |
| Jun 30, 2024 | 47.88 Mn |
| Mar 31, 2024 | 35.09 Mn |
| Dec 31, 2023 | 30.82 Mn |
| Oct 1, 2023 | 39.55 Mn |
| Jul 2, 2023 | 42.36 Mn |
| Apr 2, 2023 | 30.17 Mn |
| Dec 31, 2022 | 40.18 Mn |
| Sep 25, 2022 | 58.82 Mn |
| Jun 26, 2022 | 116.52 Mn |
| Mar 27, 2022 | 112.67 Mn |
| Dec 31, 2021 | 61.02 Mn |
| Sep 26, 2021 | 57.40 Mn |
Patrick Industries Net 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=net-income&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();