Gorman Rupp (GRC) Return on Sales [ROS] (2010 - 2026)
Gorman Rupp's Return on Sales [ROS] came in at 16.34% for Q2 2026, up 1.31 percentage points from 15.03% a year earlier and up 0.78 percentage points from the prior quarter.
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Analysis
Gorman Rupp (GRC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gorman Rupp reported Return on Sales [ROS] of 14.84%, up 0.89 percentage points year-over-year; for FY2025, it was 13.97%, up 0.11 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +3.73 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 13.86% in FY2024 (+0.66 pp), 13.20% in FY2023 (+5.49 pp), 7.71% in FY2022 (-2.69 pp) and 10.40% in FY2021 (+0.16 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q4 2010.
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +0.55 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 11.76 percentage points), and the weakest in Q2 2022 (a drop of 8.97 percentage points).
- Business Quant data shows GRC's Return on Sales [ROS] at 15.56% (Q1 2026), 14.92% (Q4 2025) and 12.43% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 26.67% |
| 10 | Gorman Rupp | 1.98 Bn | 1.83 Bn | 60.61 Mn | 16.34% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.34% |
| Mar 31, 2026 | 15.56% |
| Dec 31, 2025 | 14.92% |
| Sep 30, 2025 | 12.43% |
| Jun 30, 2025 | 15.03% |
| Mar 31, 2025 | 13.50% |
| Dec 31, 2024 | 12.96% |
| Sep 30, 2024 | 14.20% |
| Jun 30, 2024 | 15.37% |
| Mar 31, 2024 | 12.83% |
| Dec 31, 2023 | 13.57% |
| Sep 30, 2023 | 13.06% |
| Jun 30, 2023 | 14.20% |
| Mar 31, 2023 | 11.90% |
| Dec 31, 2022 | 8.57% |
| Sep 30, 2022 | 9.96% |
| Jun 30, 2022 | 2.44% |
| Mar 31, 2022 | 9.26% |
| Dec 31, 2021 | 8.74% |
| Sep 30, 2021 | 11.30% |
API Access
Gorman Rupp 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=GRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GRC", "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=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();