Dxp Enterprises (DXPE) Return on Sales [ROS] (2010 - 2026)
Dxp Enterprises' Return on Sales [ROS] was 9.63% in Q2 2026, up 0.40 percentage points from 9.22% a year earlier and up 1.48 percentage points from the prior quarter.
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Analysis
Dxp Enterprises (DXPE) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dxp Enterprises' Return on Sales [ROS] was 8.80% through Jun 30, 2026, up 0.19 percentage points year-over-year; for FY2025, it was 8.77%, up 0.70 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +11.52 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 8.07% in FY2024 (-0.19 pp), 8.26% in FY2023 (+1.66 pp), 6.60% in FY2022 (+3.02 pp) and 3.58% in FY2021 (+6.33 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +0.47 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2021 (a gain of 22.41 percentage points); the worst was Q1 2024 (a drop of 1.28 percentage points).
- Per Business Quant data, DXPE's Return on Sales [ROS] in the three quarters before Q2 2026 was 8.14% (Q1 2026), 8.85% (Q4 2025) and 8.51% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 25.80% |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 16.07% |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 21.02% |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 9.54% |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 5.73% |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 11.78% |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 11.32% |
| 10 | Dxp Enterprises | 3.01 Bn | 2.14 Bn | 183.07 Mn | 9.63% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.63% |
| Mar 31, 2026 | 8.14% |
| Dec 31, 2025 | 8.85% |
| Sep 30, 2025 | 8.51% |
| Jun 30, 2025 | 9.22% |
| Mar 31, 2025 | 8.50% |
| Dec 31, 2024 | 8.34% |
| Sep 30, 2024 | 8.37% |
| Jun 30, 2024 | 8.38% |
| Mar 31, 2024 | 7.06% |
| Dec 31, 2023 | 7.36% |
| Sep 30, 2023 | 8.55% |
| Jun 30, 2023 | 8.76% |
| Mar 31, 2023 | 8.34% |
| Dec 31, 2022 | 5.84% |
| Sep 30, 2022 | 6.85% |
| Jun 30, 2022 | 7.05% |
| Mar 31, 2022 | 6.75% |
| Dec 31, 2021 | 2.59% |
| Sep 30, 2021 | 3.86% |
API Access
Dxp Enterprises 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=DXPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();