Rush Enterprises Inc \Tx\ (RUSHA) Net of Acquisitions & Divestments (2010 - 2025)
Analysis
Rush Enterprises Inc \Tx\ (RUSHA) Net of Acquisitions & Divestments (2010 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | -4.00 Mn |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | - |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | - |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | -10.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | -667.00 Mn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | - |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | - |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | 1,000.00 |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | 7.66 Mn |
| 10 | Rush Enterprises Inc \Tx\ | 5.36 Bn | 4.40 Bn | 361.67 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -52,000.00 |
| Sep 30, 2025 | -143,000.00 |
| Dec 31, 2024 | -1,000.00 |
| Dec 31, 2023 | -16.05 Mn |
| Dec 31, 2022 | -5.01 Mn |
| Sep 30, 2022 | -703,000.00 |
| Mar 31, 2022 | 27.50 Mn |
| Jun 30, 2019 | -2.23 Mn |
| Mar 31, 2019 | -7.94 Mn |
| Dec 31, 2015 | -3.90 Mn |
| Sep 30, 2015 | -7.21 Mn |
| Jun 30, 2015 | -30.06 Mn |
| Mar 31, 2015 | -27.85 Mn |
| Dec 31, 2014 | -9.87 Mn |
| Sep 30, 2014 | -489,000.00 |
| Jun 30, 2014 | -4.22 Mn |
| Mar 31, 2014 | -143.05 Mn |
| Dec 31, 2013 | -9.54 Mn |
| Sep 30, 2013 | -59.66 Mn |
| Jun 30, 2013 | -3.50 Mn |
API Access
Rush Enterprises Inc \Tx\ 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=RUSHA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "RUSHA", "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=RUSHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();