Patrick Industries (PATK) Return on Sales [ROS] (2011 - 2026)
Patrick Industries' Return on Sales [ROS] came in at 7.40% for Q2 2026, down 0.88 percentage points from 8.28% a year earlier but up 0.90 percentage points from the prior quarter.
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Analysis
Patrick Industries (PATK) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Patrick Industries reported Return on Sales [ROS] of 6.74%, down 0.24 percentage points year-over-year; for FY2025, it came in at 6.99%, up 0.04 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +0.01 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 6.94% in FY2024 (-0.56 pp), 7.50% in FY2023 (-2.66 pp), 10.16% in FY2022 (+1.54 pp) and 8.62% in FY2021 (+1.65 pp).
- The five-year range for quarterly Return on Sales [ROS] is 4.68% (Q4 2024) to 12.05% (Q1 2022).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -0.42 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2022 (a gain of 4.00 percentage points), and the weakest in Q1 2023 (a drop of 5.80 percentage points).
- Business Quant data shows PATK's Return on Sales [ROS] at 6.49% (Q1 2026), 6.21% (Q4 2025) and 6.79% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 22.45% |
| 10 | Patrick Industries | 2.16 Bn | 2.04 Bn | 247.58 Mn | 7.40% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 7.40% |
| Mar 29, 2026 | 6.49% |
| Dec 31, 2025 | 6.21% |
| Sep 28, 2025 | 6.79% |
| Jun 29, 2025 | 8.28% |
| Mar 30, 2025 | 6.53% |
| Dec 31, 2024 | 4.68% |
| Sep 29, 2024 | 8.09% |
| Jun 30, 2024 | 8.33% |
| Mar 31, 2024 | 6.36% |
| Dec 31, 2023 | 7.34% |
| Oct 1, 2023 | 8.21% |
| Jul 2, 2023 | 8.21% |
| Apr 2, 2023 | 6.25% |
| Dec 31, 2022 | 7.10% |
| Sep 25, 2022 | 8.34% |
| Jun 26, 2022 | 11.79% |
| Mar 27, 2022 | 12.05% |
| Dec 31, 2021 | 8.25% |
| Sep 26, 2021 | 8.80% |
API Access
Patrick Industries Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PATK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();