Patrick Industries (PATK) Cost of Revenue (2011 - 2026)
Patrick Industries' Cost of Revenue was $794.13 million in Q2 2026, down 0.4% from $796.92 million a year earlier but up 3.1% from the prior quarter.
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Analysis
Patrick Industries (PATK) Cost of Revenue (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Patrick Industries' Cost of Revenue was $3.03 billion through Jun 28, 2026, up 3.2% year-over-year; for FY2025, it was $3.04 billion, up 5.5% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $2.88 billion in FY2024 (+7.2%), $2.69 billion in FY2023 (-29.7%), $3.82 billion in FY2022 (+16.6%) and $3.28 billion in FY2021 (+61.6%).
- Quarterly Cost of Revenue has moved between $602.29 million (Q4 2023) and $1.15 billion (Q2 2022) over five years.
- Compared with a year earlier, Cost of Revenue was higher in six of the last eight quarters, with growth averaging 4.6%.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2022 (growth of 51.9%); the worst was Q2 2023 (a decline of 38.1%).
- Per Business Quant data, PATK's Cost of Revenue in the three quarters before Q2 2026 was $770.31 million (Q1 2026), $711.5 million (Q4 2025) and $754.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 4.09 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 2.42 Bn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 4.41 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 2.72 Bn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 925.90 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 1.12 Bn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 634.00 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 1.00 Bn |
| 10 | Patrick Industries | 2.16 Bn | 2.04 Bn | 247.58 Mn | 794.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 794.13 Mn |
| Mar 29, 2026 | 770.31 Mn |
| Dec 31, 2025 | 711.50 Mn |
| Sep 28, 2025 | 754.67 Mn |
| Jun 29, 2025 | 796.92 Mn |
| Mar 30, 2025 | 774.83 Mn |
| Dec 31, 2024 | 658.90 Mn |
| Sep 29, 2024 | 706.93 Mn |
| Jun 30, 2024 | 785.33 Mn |
| Mar 31, 2024 | 728.64 Mn |
| Dec 31, 2023 | 602.29 Mn |
| Oct 1, 2023 | 666.95 Mn |
| Jul 2, 2023 | 710.72 Mn |
| Apr 2, 2023 | 705.86 Mn |
| Dec 31, 2022 | 750.88 Mn |
| Sep 25, 2022 | 875.64 Mn |
| Jun 26, 2022 | 1.15 Bn |
| Mar 27, 2022 | 1.05 Bn |
| Dec 31, 2021 | 920.46 Mn |
| Sep 26, 2021 | 852.02 Mn |
API Access
Patrick Industries Cost of Revenue 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=cost-of-revenue&ticker=PATK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();