Dxp Enterprises (DXPE) Cost of Revenue (2010 - 2026)
Dxp Enterprises (DXPE) posted Cost of Revenue of $393.39 million for Q2 2026, up 15.4% from $340.87 million a year earlier and up 11.4% from the prior quarter.
Dxp Enterprises (DXPE) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Dxp Enterprises was $1.46 billion, up 10.9% year-over-year; for FY2025, it was $1.38 billion, up 10.8% from FY2024.
- Annual Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- In prior years, Dxp Enterprises' Cost of Revenue was $1.25 billion in FY2024 (+6.2%), $1.17 billion in FY2023 (+10.8%), $1.06 billion in FY2022 (+34.8%) and $785.42 million in FY2021 (+7.9%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q2 2010.
- On a year-over-year basis, Cost of Revenue has increased in each of the last nine quarters, with growth averaging 11.5% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2022, with growth of 41.5%; the weakest was Q4 2023, with a decline of 3.7%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $353.05 million (Q1 2026), $360.8 million (Q4 2025) and $352.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 2.68 Bn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 3.04 Bn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 1.32 Bn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 5.15 Bn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 1.87 Bn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 3.33 Bn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 5.21 Bn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 941.47 Mn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 1.53 Bn |
| 10 | Dxp Enterprises | 3.01 Bn | 2.14 Bn | 183.07 Mn | 393.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 393.39 Mn |
| Mar 31, 2026 | 353.05 Mn |
| Dec 31, 2025 | 360.80 Mn |
| Sep 30, 2025 | 352.47 Mn |
| Jun 30, 2025 | 340.87 Mn |
| Mar 31, 2025 | 326.30 Mn |
| Dec 31, 2024 | 322.42 Mn |
| Sep 30, 2024 | 326.83 Mn |
| Jun 30, 2024 | 307.76 Mn |
| Mar 31, 2024 | 288.75 Mn |
| Dec 31, 2023 | 284.21 Mn |
| Sep 30, 2023 | 293.69 Mn |
| Jun 30, 2023 | 296.19 Mn |
| Mar 31, 2023 | 299.23 Mn |
| Dec 31, 2022 | 295.04 Mn |
| Sep 30, 2022 | 275.68 Mn |
| Jun 30, 2022 | 263.55 Mn |
| Mar 31, 2022 | 224.53 Mn |
| Dec 31, 2021 | 208.49 Mn |
| Sep 30, 2021 | 202.55 Mn |
Dxp Enterprises 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=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();