Gorman Rupp (GRC) Operating Margin (2010 - 2026)
Gorman Rupp (GRC) posted Operating Margin of 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.
Gorman Rupp (GRC) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Gorman Rupp was 14.84%, up 0.89 percentage points year-over-year; for FY2025, it was 13.97%, up 0.11 percentage points from FY2024.
- Annual Operating Margin has increased for three consecutive years, with a five-year change of +3.73 percentage points (FY2020 to FY2025).
- In prior years, Gorman Rupp's Operating Margin 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 stands as the highest quarterly Operating Margin since Q4 2010.
- On a year-over-year basis, Operating Margin has increased in each of the last three quarters, with an average year-over-year change of +0.55 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q2 2023, with a gain of 11.76 percentage points; the weakest was Q2 2022, with a drop of 8.97 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was 15.56% (Q1 2026), 14.92% (Q4 2025) and 12.43% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 26.92% |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 23.66% |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 19.48% |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 26.67% |
| 10 | Gorman Rupp | 1.95 Bn | 1.80 Bn | 60.61 Mn | 16.34% |
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% |
Gorman Rupp Operating Margin 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=operating-margin&ticker=GRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();