Patrick Industries (PATK) EBITDA Margin (2011 - 2026)
Patrick Industries (PATK) recorded EBITDA Margin of 11.60% in Q2 2026, down 0.82 percentage points from 12.42% 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 11.16% as of Jun 28, 2026, down 0.36 percentage points year-over-year; for FY2025, it came in at 11.38%, down 0.14 percentage points from FY2024.
- Annual EBITDA Margin has declined for three straight years, though with a five-year change of +1.17 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 11.51% in FY2024 (-0.25 pp), 11.76% in FY2023 (-1.16 pp), 12.92% in FY2022 (+1.53 pp) and 11.39% in FY2021 (+1.18 pp).
- Quarterly EBITDA Margin has ranged from 9.81% in Q4 2024 to 14.34% 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 -0.43 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 3.43 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 10.86% (Q1 2026), 10.95% (Q4 2025) and 11.18% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.47 Bn | 87.09 Bn | 2.38 Bn | 21.42% |
| 2 | Johnson Controls International | 85.88 Bn | 83.61 Bn | 2.47 Bn | 17.37% |
| 3 | Carrier Global | 43.83 Bn | 38.20 Bn | 1.90 Bn | -31.12% |
| 4 | Comfort Systems Usa | 39.03 Bn | 32.98 Bn | 934.48 Mn | 17.85% |
| 5 | Otis Worldwide | 30.08 Bn | 26.47 Bn | 1.16 Bn | 16.89% |
| 6 | James Hardie Industries | 17.47 Bn | 16.40 Bn | 562.40 Mn | 29.82% |
| 7 | Masco | 16.84 Bn | 14.64 Bn | 720.00 Mn | - |
| 8 | Allegion | 16.15 Bn | 14.78 Bn | 548.20 Mn | 27.35% |
| 9 | Carlisle Companies | 15.63 Bn | 12.54 Bn | 494.90 Mn | 23.37% |
| 10 | Patrick Industries | 2.58 Bn | 2.47 Bn | 229.89 Mn | 9.56% |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 9.56% |
| Jun 28, 2026 | 11.60% |
| Mar 29, 2026 | 10.86% |
| Dec 31, 2025 | 10.95% |
| Sep 28, 2025 | 11.18% |
| Jun 29, 2025 | 12.42% |
| Mar 30, 2025 | 10.86% |
| Dec 31, 2024 | 9.81% |
| Sep 29, 2024 | 12.77% |
| Jun 30, 2024 | 12.49% |
| Mar 31, 2024 | 10.76% |
| Dec 31, 2023 | 12.33% |
| Oct 1, 2023 | 12.45% |
| Jul 2, 2023 | 12.14% |
| Apr 2, 2023 | 10.23% |
| Dec 31, 2022 | 10.99% |
| Sep 25, 2022 | 11.38% |
| Jun 26, 2022 | 14.05% |
| Mar 27, 2022 | 14.34% |
| Dec 31, 2021 | 10.95% |
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();