Patrick Industries (PATK) EBITDA (2011 - 2026)
Patrick Industries' EBITDA came in at $120.89 million for Q2 2026, down 7.1% from $130.15 million a year earlier but up 11.6% 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 $439.52 million, unchanged year-over-year; for FY2025, it was $449.47 million, up 5.1% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $427.86 million in FY2024 (+4.9%), $407.98 million in FY2023 (-35.3%), $630.82 million in FY2022 (+35.8%) and $464.51 million in FY2021 (+83.0%).
- The five-year range for quarterly EBITDA is $82.98 million (Q4 2024) to $207.28 million (Q2 2022).
- Year-over-year, EBITDA increased in four of the last eight quarters, with growth averaging 1.7%.
- The fastest year-over-year change in EBITDA over five years came in Q1 2022 (growth of 107.4%), and the weakest in Q1 2023 (a decline of 52.1%).
- Business Quant data shows PATK's EBITDA at $108.32 million (Q1 2026), $101.23 million (Q4 2025) and $109.08 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 | 92.47 Bn | 87.09 Bn | 2.38 Bn | 1.45 Bn |
| 2 | Johnson Controls International | 85.88 Bn | 83.61 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Carrier Global | 43.83 Bn | 38.20 Bn | 1.90 Bn | -1.95 Bn |
| 4 | Comfort Systems Usa | 39.03 Bn | 32.98 Bn | 934.48 Mn | 672.34 Mn |
| 5 | Otis Worldwide | 30.08 Bn | 26.47 Bn | 1.16 Bn | 661.00 Mn |
| 6 | James Hardie Industries | 17.47 Bn | 16.40 Bn | 562.40 Mn | 425.90 Mn |
| 7 | Masco | 16.84 Bn | 14.64 Bn | 720.00 Mn | - |
| 8 | Allegion | 16.15 Bn | 14.78 Bn | 548.20 Mn | 320.70 Mn |
| 9 | Carlisle Companies | 15.63 Bn | 12.54 Bn | 494.90 Mn | 342.00 Mn |
| 10 | Patrick Industries | 2.58 Bn | 2.47 Bn | 229.89 Mn | 93.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 93.27 Mn |
| Jun 28, 2026 | 120.89 Mn |
| Mar 29, 2026 | 108.32 Mn |
| Dec 31, 2025 | 101.23 Mn |
| Sep 28, 2025 | 109.08 Mn |
| Jun 29, 2025 | 130.15 Mn |
| Mar 30, 2025 | 109.01 Mn |
| Dec 31, 2024 | 82.98 Mn |
| Sep 29, 2024 | 117.42 Mn |
| Jun 30, 2024 | 126.98 Mn |
| Mar 31, 2024 | 100.48 Mn |
| Dec 31, 2023 | 96.30 Mn |
| Oct 1, 2023 | 107.81 Mn |
| Jul 2, 2023 | 111.81 Mn |
| Apr 2, 2023 | 92.07 Mn |
| Dec 31, 2022 | 104.62 Mn |
| Sep 25, 2022 | 126.52 Mn |
| Jun 26, 2022 | 207.28 Mn |
| Mar 27, 2022 | 192.41 Mn |
| Dec 31, 2021 | 125.66 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();