Dxp Enterprises (DXPE) Return on Capital Employed [ROCE] (2011 - 2026)
Dxp Enterprises' Return on Capital Employed [ROCE] was 12.99% in Q2 2026, down 1.37 percentage points from 14.36% a year earlier but up 0.39 percentage points from the prior quarter.
Dxp Enterprises (DXPE) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Dxp Enterprises came in at 14.21%, down 0.05 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +18.27 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 14.26% in FY2024 (-1.45 pp), 15.71% in FY2023 (+2.72 pp), 12.98% in FY2022 (+7.29 pp) and 5.69% in FY2021 (+9.75 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between 3.75% (Q3 2021) and 16.20% (Q3 2023) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for three straight quarters, with an average year-over-year change of -0.72 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2022 (a gain of 12.95 percentage points); the worst was Q3 2024 (a drop of 2.03 percentage points).
- Per Business Quant data, DXPE's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 12.60% (Q1 2026), 13.69% (Q4 2025) and 14.53% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 16.11% |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 37.06% |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 40.62% |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 23.37% |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 12.18% |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 12.56% |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 10.99% |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 23.02% |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 18.08% |
| 10 | Dxp Enterprises | 3.01 Bn | 2.14 Bn | 183.07 Mn | 12.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.99% |
| Mar 31, 2026 | 12.60% |
| Dec 31, 2025 | 13.69% |
| Sep 30, 2025 | 14.53% |
| Jun 30, 2025 | 14.36% |
| Mar 31, 2025 | 13.99% |
| Dec 31, 2024 | 13.89% |
| Sep 30, 2024 | 14.16% |
| Jun 30, 2024 | 13.80% |
| Mar 31, 2024 | 13.92% |
| Dec 31, 2023 | 15.64% |
| Sep 30, 2023 | 16.20% |
| Jun 30, 2023 | 14.73% |
| Mar 31, 2023 | 13.60% |
| Dec 31, 2022 | 12.16% |
| Sep 30, 2022 | 10.97% |
| Jun 30, 2022 | 9.39% |
| Mar 31, 2022 | 7.66% |
| Dec 31, 2021 | 5.52% |
| Sep 30, 2021 | 3.75% |
Dxp Enterprises 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=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DXPE", "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=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();