Patrick Industries (PATK) Gross Margin (2011 - 2026)
Patrick Industries (PATK) posted Gross Margin of 23.77% for Q2 2026, down 0.16 percentage points from 23.93% a year earlier but up 1.02 percentage points from the prior quarter.
Patrick Industries (PATK) Gross Margin (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Gross Margin at Patrick Industries was 23.06%, up 0.02 percentage points year-over-year; for FY2025, it came in at 23.11%, up 0.61 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of +4.65 percentage points (FY2020 to FY2025).
- In prior years, Patrick Industries' Gross Margin was 22.50% in FY2024 (-0.06 pp), 22.56% in FY2023 (+0.84 pp), 21.71% in FY2022 (+2.07 pp) and 19.65% in FY2021 (+1.19 pp).
- Quarterly Gross Margin has run from a low of 19.63% in Q3 2021 to a high of 23.93% in Q2 2025 over five years.
- On a year-over-year basis, Gross Margin increased in four of the last eight quarters, with an average year-over-year change of +0.20 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q1 2022, with a gain of 3.01 percentage points; the weakest was Q4 2024, with a drop of 0.77 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 22.75% (Q1 2026), 23.01% (Q4 2025) and 22.65% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 35.57% |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 37.41% |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 25.85% |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 30.59% |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 29.52% |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 37.21% |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 43.57% |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 44.94% |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 36.20% |
| 10 | Patrick Industries | 2.22 Bn | 2.10 Bn | 247.58 Mn | 23.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 23.77% |
| Mar 29, 2026 | 22.75% |
| Dec 31, 2025 | 23.01% |
| Sep 28, 2025 | 22.65% |
| Jun 29, 2025 | 23.93% |
| Mar 30, 2025 | 22.78% |
| Dec 31, 2024 | 22.13% |
| Sep 29, 2024 | 23.11% |
| Jun 30, 2024 | 22.75% |
| Mar 31, 2024 | 21.95% |
| Dec 31, 2023 | 22.90% |
| Oct 1, 2023 | 22.99% |
| Jul 2, 2023 | 22.81% |
| Apr 2, 2023 | 21.58% |
| Dec 31, 2022 | 21.12% |
| Sep 25, 2022 | 21.26% |
| Jun 26, 2022 | 22.17% |
| Mar 27, 2022 | 22.00% |
| Dec 31, 2021 | 19.78% |
| Sep 26, 2021 | 19.63% |
Patrick Industries Gross Margin 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=gross-margin&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();