Patrick Industries (PATK) EBITDA (2011 - 2026)
Patrick Industries' EBITDA came in at $120.05 million for Q2 2026, down 7.2% from $129.33 million a year earlier but up 11.7% from the prior quarter.
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Analysis
Patrick Industries (PATK) EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Patrick Industries reported EBITDA of $436.2 million, unchanged year-over-year; for FY2025, it was $446.2 million, up 5.1% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Going back by year, EBITDA was $424.59 million in FY2024 (+4.9%), $404.74 million in FY2023 (-35.4%), $626.93 million in FY2022 (+37.3%) and $456.52 million in FY2021 (+85.1%).
- The five-year range for quarterly EBITDA is $82.14 million (Q4 2024) to $206.8 million (Q2 2022).
- Year-over-year, EBITDA increased in four of the last eight quarters, with growth averaging 1.8%.
- The fastest year-over-year change in EBITDA over five years came in Q1 2022 (growth of 110.9%), and the weakest in Q1 2023 (a decline of 52.2%).
- Business Quant data shows PATK's EBITDA at $107.5 million (Q1 2026), $100.4 million (Q4 2025) and $108.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 601.28 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Patrick Industries | 2.22 Bn | 2.10 Bn | 247.58 Mn | 120.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 120.05 Mn |
| Mar 29, 2026 | 107.50 Mn |
| Dec 31, 2025 | 100.40 Mn |
| Sep 28, 2025 | 108.26 Mn |
| Jun 29, 2025 | 129.33 Mn |
| Mar 30, 2025 | 108.22 Mn |
| Dec 31, 2024 | 82.14 Mn |
| Sep 29, 2024 | 116.60 Mn |
| Jun 30, 2024 | 126.17 Mn |
| Mar 31, 2024 | 99.68 Mn |
| Dec 31, 2023 | 93.88 Mn |
| Oct 1, 2023 | 107.56 Mn |
| Jul 2, 2023 | 111.56 Mn |
| Apr 2, 2023 | 91.74 Mn |
| Dec 31, 2022 | 102.13 Mn |
| Sep 25, 2022 | 126.04 Mn |
| Jun 26, 2022 | 206.80 Mn |
| Mar 27, 2022 | 191.96 Mn |
| Dec 31, 2021 | 123.20 Mn |
| Sep 26, 2021 | 120.86 Mn |
API Access
Patrick Industries EBITDA 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&ticker=PATK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();