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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 2.85 Bn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 3.17 Bn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 1.36 Bn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 5.15 Bn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 1.87 Bn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 3.76 Bn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 5.66 Bn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 1.53 Bn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 898.96 Mn |
| 10 | Dxp Enterprises | 2.43 Bn | 1.47 Bn | 180.51 Mn | 406.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 406.67 Mn |
| 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 |
API Access
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_KEYimport 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();