Patrick Industries (PATK) Return on Capital Employed [ROCE] (2011 - 2026)
Patrick Industries (PATK) posted Return on Capital Employed [ROCE] of 9.37% for Q2 2026, down 0.59 percentage points from 9.96% a year earlier and down 0.55 percentage points from the prior quarter.
Patrick Industries (PATK) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Patrick Industries' Return on Capital Employed [ROCE] came in at 10.22%, down 0.36 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three consecutive years, with a five-year change of -2.30 percentage points (FY2020 to FY2025).
- In prior years, Patrick Industries' Return on Capital Employed [ROCE] was 10.58% in FY2024 (-0.42 pp), 11.01% in FY2023 (-10.11 pp), 21.12% in FY2022 (+1.24 pp) and 19.88% in FY2021 (+7.36 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2011.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -0.64 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2022, with a gain of 5.67 percentage points; the weakest was Q3 2023, with a drop of 9.19 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 9.92% (Q1 2026), 9.99% (Q4 2025) and 9.54% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 26.65% |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 10.95% |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 25.26% |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 6.15% |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 87.23% |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 4.22% |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 36.39% |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 19.60% |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 19.44% |
| 10 | Patrick Industries | 2.16 Bn | 2.04 Bn | 247.58 Mn | 9.37% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 9.37% |
| Mar 29, 2026 | 9.92% |
| Dec 31, 2025 | 9.99% |
| Sep 28, 2025 | 9.54% |
| Jun 29, 2025 | 9.96% |
| Mar 30, 2025 | 9.79% |
| Dec 31, 2024 | 9.49% |
| Sep 29, 2024 | 10.27% |
| Jun 30, 2024 | 10.30% |
| Mar 31, 2024 | 10.80% |
| Dec 31, 2023 | 11.31% |
| Oct 1, 2023 | 11.53% |
| Jul 2, 2023 | 11.90% |
| Apr 2, 2023 | 15.84% |
| Dec 31, 2022 | 20.07% |
| Sep 25, 2022 | 20.72% |
| Jun 26, 2022 | 20.74% |
| Mar 27, 2022 | 19.22% |
| Dec 31, 2021 | 16.98% |
| Sep 26, 2021 | 16.96% |
Patrick Industries Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();