Gorman Rupp (GRC) Return on Sales [ROS] (2009 - 2026)
Gorman Rupp's Return on Sales [ROS] came in at 17.54% for Q3 2026, up 5.12 percentage points from 12.43% a year earlier and up 1.20 percentage points from the prior quarter.
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Analysis
Gorman Rupp (GRC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Gorman Rupp reported Return on Sales [ROS] of 16.14%, up 2.64 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 Q3 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +1.05 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 16.34% (Q2 2026), 15.56% (Q1 2026) and 14.92% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 25.88% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 22.81% |
| 10 | Gorman Rupp | 1.85 Bn | 1.69 Bn | 64.52 Mn | 17.54% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.54% |
| 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% |
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();