Dxp Enterprises (DXPE) Revenue (2010 - 2026)
Dxp Enterprises (DXPE) recorded Revenue of $576.46 million in Q2 2026, up 15.6% from $498.68 million a year earlier and up 10.5% from the prior quarter.
Dxp Enterprises (DXPE) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Dxp Enterprises' Revenue came in at $2.14 billion as of Jun 30, 2026, up 11.5% year-over-year; for FY2025, it came in at $2.02 billion, up 11.9% from FY2024.
- Annual Revenue has increased for five straight years, with a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $1.8 billion in FY2024 (+7.3%), $1.68 billion in FY2023 (+13.4%), $1.48 billion in FY2022 (+32.9%) and $1.11 billion in FY2021 (+10.8%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2010.
- On a year-over-year basis, Revenue has increased for nine consecutive quarters, with growth averaging 12.7% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 38.6% in Q4 2022, against a decline of 2.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $521.66 million (Q1 2026), $527.39 million (Q4 2025) and $513.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 5.02 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 2.39 Bn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 7.47 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 3.12 Bn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 4.63 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 6.67 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 1.35 Bn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 2.10 Bn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 1.69 Bn |
| 10 | Dxp Enterprises | 2.81 Bn | 1.94 Bn | 183.07 Mn | 576.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 576.46 Mn |
| Mar 31, 2026 | 521.66 Mn |
| Dec 31, 2025 | 527.39 Mn |
| Sep 30, 2025 | 513.72 Mn |
| Jun 30, 2025 | 498.68 Mn |
| Mar 31, 2025 | 476.57 Mn |
| Dec 31, 2024 | 470.91 Mn |
| Sep 30, 2024 | 472.94 Mn |
| Jun 30, 2024 | 445.56 Mn |
| Mar 31, 2024 | 412.64 Mn |
| Dec 31, 2023 | 407.44 Mn |
| Sep 30, 2023 | 419.25 Mn |
| Jun 30, 2023 | 428.04 Mn |
| Mar 31, 2023 | 424.27 Mn |
| Dec 31, 2022 | 406.46 Mn |
| Sep 30, 2022 | 387.31 Mn |
| Jun 30, 2022 | 367.81 Mn |
| Mar 31, 2022 | 319.41 Mn |
| Dec 31, 2021 | 293.23 Mn |
| Sep 30, 2021 | 289.49 Mn |
Dxp Enterprises 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=revenue&ticker=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();