Rush Enterprises Inc \Tx\ (RUSHA) Return on Sales [ROS] (2010 - 2026)
Rush Enterprises Inc \Tx\ (RUSHA) recorded Return on Sales [ROS] of 5.12% in Q2 2026, down 0.59 percentage points from 5.71% a year earlier but up 0.23 percentage points from the prior quarter.
Rush Enterprises Inc \Tx\ (RUSHA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Rush Enterprises Inc \Tx\'s Return on Sales [ROS] came in at 5.13% as of Jun 30, 2026, down 0.53 percentage points year-over-year; for FY2025, it was 5.30%, down 0.70 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three straight years, though with a five-year change of +2.03 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 6.00% in FY2024 (-0.47 pp), 6.47% in FY2023 (-0.66 pp), 7.13% in FY2022 (+1.10 pp) and 6.03% in FY2021 (+2.76 pp).
- Quarterly Return on Sales [ROS] has ranged from 4.88% in Q1 2026 to 7.54% in Q2 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for seven consecutive quarters, with an average year-over-year change of -0.45 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 3.48 percentage points in Q3 2021, against a drop of 1.33 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 4.88% (Q1 2026), 5.17% (Q4 2025) and 5.32% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.18 Bn | 62.94 Bn | 1.73 Bn | 25.80% |
| 2 | W.W. Grainger | 62.30 Bn | 59.90 Bn | 1.98 Bn | 16.07% |
| 3 | Fastenal | 58.56 Bn | 57.48 Bn | 1.06 Bn | 21.02% |
| 4 | Ferguson Enterprises | 44.07 Bn | 41.28 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 31.19 Bn | 31.07 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 21.34 Bn | 20.38 Bn | 1.30 Bn | 9.54% |
| 7 | Wesco International | 16.69 Bn | 14.00 Bn | 1.46 Bn | 5.73% |
| 8 | Applied Industrial Technologies | 12.48 Bn | 12.35 Bn | 411.22 Mn | 11.78% |
| 9 | Watsco | 11.24 Bn | 8.93 Bn | 578.93 Mn | 11.32% |
| 10 | Rush Enterprises Inc \Tx\ | 5.27 Bn | 4.31 Bn | 361.67 Mn | 5.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.12% |
| Mar 31, 2026 | 4.88% |
| Dec 31, 2025 | 5.17% |
| Sep 30, 2025 | 5.32% |
| Jun 30, 2025 | 5.71% |
| Mar 31, 2025 | 4.96% |
| Dec 31, 2024 | 5.59% |
| Sep 30, 2024 | 6.37% |
| Jun 30, 2024 | 6.14% |
| Mar 31, 2024 | 5.91% |
| Dec 31, 2023 | 5.92% |
| Sep 30, 2023 | 6.14% |
| Jun 30, 2023 | 7.13% |
| Mar 31, 2023 | 6.68% |
| Dec 31, 2022 | 7.25% |
| Sep 30, 2022 | 6.81% |
| Jun 30, 2022 | 7.54% |
| Mar 31, 2022 | 6.88% |
| Dec 31, 2021 | 6.85% |
| Sep 30, 2021 | 7.12% |
Rush Enterprises Inc \Tx\ Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=RUSHA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RUSHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();