Patrick Industries (PATK) EBITDA Margin (2011 - 2026)
Patrick Industries (PATK) recorded EBITDA Margin of 11.52% in Q2 2026, down 0.82 percentage points from 12.35% a year earlier but up 0.74 percentage points from the prior quarter.
Patrick Industries (PATK) EBITDA Margin (2011 - 2026) Analysis & Trends
On a TTM basis, Patrick Industries' EBITDA Margin came in at 11.07% as of Jun 28, 2026, down 0.36 percentage points year-over-year; for FY2025, it came in at 11.29%, down 0.13 percentage points from FY2024.
- Annual EBITDA Margin has declined for three straight years, though with a five-year change of +1.38 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 11.43% in FY2024 (-0.24 pp), 11.67% in FY2023 (-1.17 pp), 12.84% in FY2022 (+1.65 pp) and 11.19% in FY2021 (+1.28 pp).
- Quarterly EBITDA Margin has ranged from 9.71% in Q4 2024 to 14.30% in Q1 2022 over the past five years.
- On a year-over-year basis, EBITDA Margin rose in three of the last eight quarters, with an average year-over-year change of -0.41 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 3.60 percentage points in Q1 2022, against a drop of 4.11 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 10.78% (Q1 2026), 10.86% (Q4 2025) and 11.10% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 21.00% |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 17.37% |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 18.41% |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 17.93% |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 15.99% |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 26.21% |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 25.22% |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 25.55% |
| 10 | Patrick Industries | 2.22 Bn | 2.10 Bn | 247.58 Mn | 11.52% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 11.52% |
| Mar 29, 2026 | 10.78% |
| Dec 31, 2025 | 10.86% |
| Sep 28, 2025 | 11.10% |
| Jun 29, 2025 | 12.35% |
| Mar 30, 2025 | 10.78% |
| Dec 31, 2024 | 9.71% |
| Sep 29, 2024 | 12.68% |
| Jun 30, 2024 | 12.41% |
| Mar 31, 2024 | 10.68% |
| Dec 31, 2023 | 12.02% |
| Oct 1, 2023 | 12.42% |
| Jul 2, 2023 | 12.12% |
| Apr 2, 2023 | 10.19% |
| Dec 31, 2022 | 10.73% |
| Sep 25, 2022 | 11.33% |
| Jun 26, 2022 | 14.01% |
| Mar 27, 2022 | 14.30% |
| Dec 31, 2021 | 10.74% |
| Sep 26, 2021 | 11.40% |
Patrick Industries EBITDA 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=ebitda-margin&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();