Patrick Industries (PATK) Cost of Revenue (2011 - 2026)
Patrick Industries' Cost of Revenue was $745.38 million in Q3 2026, down 1.2% from $754.67 million a year earlier and down 6.1% from the prior quarter.
Patrick Industries (PATK) Cost of Revenue (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Patrick Industries' Cost of Revenue was $3.02 billion through Sep 27, 2026, up 1.2% 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 has declined for three straight quarters, with growth averaging 3.7% over the last eight quarters.
- 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 Q3 2026 was $794.13 million (Q2 2026), $770.31 million (Q1 2026) and $711.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.47 Bn | 87.09 Bn | 2.38 Bn | 4.37 Bn |
| 2 | Johnson Controls International | 85.88 Bn | 83.61 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Carrier Global | 43.83 Bn | 38.20 Bn | 1.90 Bn | 4.36 Bn |
| 4 | Comfort Systems Usa | 39.03 Bn | 32.98 Bn | 934.48 Mn | 2.83 Bn |
| 5 | Otis Worldwide | 30.08 Bn | 26.47 Bn | 1.16 Bn | 2.76 Bn |
| 6 | James Hardie Industries | 17.47 Bn | 16.40 Bn | 562.40 Mn | 865.80 Mn |
| 7 | Masco | 16.84 Bn | 14.64 Bn | 720.00 Mn | 1.25 Bn |
| 8 | Allegion | 16.15 Bn | 14.78 Bn | 548.20 Mn | 624.40 Mn |
| 9 | Carlisle Companies | 15.63 Bn | 12.54 Bn | 494.90 Mn | 968.50 Mn |
| 10 | Patrick Industries | 2.58 Bn | 2.47 Bn | 229.89 Mn | 745.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 745.38 Mn |
| 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 |
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_KEY
import 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();