Gorman Rupp (GRC) Operating Income (2009 - 2026)
Gorman Rupp's Operating Income was $33.9 million in Q3 2026, up 57.8% from $21.48 million a year earlier and up 11.5% from the prior quarter.
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Analysis
Gorman Rupp (GRC) Operating Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gorman Rupp's Operating Income was $116.64 million through Sep 30, 2026, up 27.3% year-over-year; for FY2025, it came in at $95.36 million, up 4.3% from FY2024.
- Operating Income has now increased for five consecutive years, with a five-year compound annual growth rate of 21.7% (FY2020 to FY2025).
- In earlier years, Operating Income was $91.44 million in FY2024 (+5.1%), $87.04 million in FY2023 (+116.6%), $40.18 million in FY2022 (+2.1%) and $39.36 million in FY2021 (+10.1%).
- The Q3 2026 figure marks the highest quarterly Operating Income in data going back to Q2 2010.
- Compared with a year earlier, Operating Income has increased for four straight quarters, with growth averaging 13.9% over the last eight quarters.
- The best year-over-year quarter for Operating Income over five years was Q2 2023 (growth of 735.3%); the worst was Q2 2022 (a decline of 72.6%).
- Per Business Quant data, GRC's Operating Income in the three quarters before Q3 2026 was $30.41 million (Q2 2026), $27.48 million (Q1 2026) and $24.85 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.21 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.59 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.20 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.56 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.35 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.18 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 983.80 Mn |
| 10 | Gorman Rupp | 1.85 Bn | 1.69 Bn | 64.52 Mn | 33.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.90 Mn |
| Jun 30, 2026 | 30.41 Mn |
| Mar 31, 2026 | 27.48 Mn |
| Dec 31, 2025 | 24.85 Mn |
| Sep 30, 2025 | 21.48 Mn |
| Jun 30, 2025 | 26.91 Mn |
| Mar 31, 2025 | 22.13 Mn |
| Dec 31, 2024 | 21.08 Mn |
| Sep 30, 2024 | 23.89 Mn |
| Jun 30, 2024 | 26.05 Mn |
| Mar 31, 2024 | 20.43 Mn |
| Dec 31, 2023 | 21.79 Mn |
| Sep 30, 2023 | 21.88 Mn |
| Jun 30, 2023 | 24.28 Mn |
| Mar 31, 2023 | 19.10 Mn |
| Dec 31, 2022 | 12.51 Mn |
| Sep 30, 2022 | 15.31 Mn |
| Jun 30, 2022 | 2.91 Mn |
| Mar 31, 2022 | 9.46 Mn |
| Dec 31, 2021 | 8.23 Mn |
API Access
Gorman Rupp Operating Income 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-income&ticker=GRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();