Dxp Enterprises (DXPE) Net of Acquisitions & Divestments (2010 - 2026)
Analysis
Dxp Enterprises (DXPE) Net of Acquisitions & Divestments (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 68.20 Bn | 67.32 Bn | 2.05 Bn | -117.00 Mn |
| 2 | W.W. Grainger | 63.59 Bn | 61.57 Bn | 1.98 Bn | - |
| 3 | Fastenal | 59.55 Bn | 58.55 Bn | 1.10 Bn | - |
| 4 | Ferguson Enterprises | 44.05 Bn | 41.26 Bn | 2.32 Bn | -10.00 Mn |
| 5 | Sunbelt Rentals Holdings | 32.18 Bn | 32.06 Bn | 1.25 Bn | -667.00 Mn |
| 6 | Reliance | 21.22 Bn | 20.27 Bn | 1.30 Bn | - |
| 7 | Wesco International | 15.49 Bn | 12.80 Bn | 1.46 Bn | - |
| 8 | Avantor | 11.69 Bn | 10.49 Bn | 537.00 Mn | - |
| 9 | Applied Industrial Technologies | 11.67 Bn | 11.54 Bn | 411.22 Mn | 1,000.00 |
| 10 | Dxp Enterprises | 2.42 Bn | 1.56 Bn | 183.07 Mn | -10.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.24 Mn |
| Mar 31, 2026 | -102.70 Mn |
| Dec 31, 2025 | -37.23 Mn |
| Sep 30, 2025 | -10.59 Mn |
| Jun 30, 2025 | -1.01 Mn |
| Mar 31, 2025 | -12.85 Mn |
| Dec 31, 2024 | -7.18 Mn |
| Sep 30, 2024 | -30.42 Mn |
| Jun 30, 2024 | -79.76 Mn |
| Mar 31, 2024 | -39.26 Mn |
| Dec 31, 2023 | -1.54 Mn |
| Sep 30, 2023 | -360,000.00 |
| Jun 30, 2023 | -8.49 Mn |
| Sep 30, 2022 | -4.39 Mn |
| Jun 30, 2022 | -38.80 Mn |
| Mar 31, 2022 | -5.32 Mn |
| Dec 31, 2021 | -83,000.00 |
| Sep 30, 2021 | -20.18 Mn |
| Jun 30, 2021 | -44.44 Mn |
| Dec 31, 2020 | -101.13 Mn |
API Access
Dxp Enterprises Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();