Rush Enterprises Inc \Tx\ (RUSHA) EBT (2010 - 2026)
Rush Enterprises Inc \Tx\'s EBT was $92.28 million in Q2 2026, down 5.0% from $97.11 million a year earlier but up 22.4% from the prior quarter.
Rush Enterprises Inc \Tx\ (RUSHA) EBT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rush Enterprises Inc \Tx\'s EBT was $337.86 million through Jun 30, 2026, down 10.1% year-over-year; for FY2025, it came in at $345.87 million, down 13.1% from FY2024.
- EBT has now declined for three consecutive years, though with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In earlier years, EBT was $397.82 million in FY2024 (-13.9%), $462.06 million in FY2023 (-9.3%), $509.33 million in FY2022 (+62.4%) and $313.68 million in FY2021 (+106.7%).
- Quarterly EBT has moved between $75.39 million (Q1 2026) and $140.19 million (Q2 2022) over five years.
- Compared with a year earlier, EBT has declined for 14 straight quarters, with an average decline of 9.2% over the last eight quarters.
- The best year-over-year quarter for EBT over five years was Q1 2022 (growth of 112.5%); the worst was Q1 2024 (a decline of 22.1%).
- Per Business Quant data, RUSHA's EBT in the three quarters before Q2 2026 was $75.39 million (Q1 2026), $82.32 million (Q4 2025) and $87.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.18 Bn | 62.94 Bn | 1.73 Bn | 1.01 Bn |
| 2 | W.W. Grainger | 62.30 Bn | 59.90 Bn | 1.98 Bn | 798.00 Mn |
| 3 | Fastenal | 58.56 Bn | 57.48 Bn | 1.06 Bn | 502.10 Mn |
| 4 | Ferguson Enterprises | 44.07 Bn | 41.28 Bn | 2.32 Bn | 560.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.19 Bn | 31.07 Bn | 1.25 Bn | 591.00 Mn |
| 6 | Reliance | 21.34 Bn | 20.38 Bn | 1.30 Bn | 429.80 Mn |
| 7 | Wesco International | 16.69 Bn | 14.00 Bn | 1.46 Bn | 272.00 Mn |
| 8 | Applied Industrial Technologies | 12.48 Bn | 12.35 Bn | 411.22 Mn | 157.79 Mn |
| 9 | Watsco | 11.24 Bn | 8.93 Bn | 578.93 Mn | 241.87 Mn |
| 10 | Rush Enterprises Inc \Tx\ | 5.27 Bn | 4.31 Bn | 361.67 Mn | 92.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.28 Mn |
| Mar 31, 2026 | 75.39 Mn |
| Dec 31, 2025 | 82.32 Mn |
| Sep 30, 2025 | 87.87 Mn |
| Jun 30, 2025 | 97.11 Mn |
| Mar 31, 2025 | 78.57 Mn |
| Dec 31, 2024 | 96.70 Mn |
| Sep 30, 2024 | 103.24 Mn |
| Jun 30, 2024 | 105.06 Mn |
| Mar 31, 2024 | 92.81 Mn |
| Dec 31, 2023 | 104.84 Mn |
| Sep 30, 2023 | 107.56 Mn |
| Jun 30, 2023 | 130.53 Mn |
| Mar 31, 2023 | 119.14 Mn |
| Dec 31, 2022 | 128.25 Mn |
| Sep 30, 2022 | 120.55 Mn |
| Jun 30, 2022 | 140.19 Mn |
| Mar 31, 2022 | 120.34 Mn |
| Dec 31, 2021 | 90.45 Mn |
| Sep 30, 2021 | 91.85 Mn |
Rush Enterprises Inc \Tx\ EBT 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=ebt&ticker=RUSHA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=RUSHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();