Gorman Rupp (GRC) EBIT (2010 - 2026)
Gorman Rupp (GRC) posted EBIT of $30.41 million for Q2 2026, up 13.0% from $26.91 million a year earlier and up 10.7% from the prior quarter.
Gorman Rupp (GRC) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Gorman Rupp was $104.21 million, up 10.9% year-over-year; for FY2025, it came in at $95.36 million, up 4.3% from FY2024.
- Annual EBIT has increased for five consecutive years, with a five-year compound annual growth rate of 21.7% (FY2020 to FY2025).
- In prior years, Gorman Rupp's EBIT 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 Q2 2026 figure stands as the highest quarterly EBIT in data going back to Q2 2010.
- On a year-over-year basis, EBIT has increased in each of the last three quarters, with growth averaging 7.8% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q2 2023, with growth of 735.3%; the weakest was Q2 2022, with a decline of 72.6%.
- According to Business Quant data, EBIT for the three prior quarters was $27.48 million (Q1 2026), $24.85 million (Q4 2025) and $21.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.30 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 637.90 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.31 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 984.00 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Gorman Rupp | 2.01 Bn | 1.86 Bn | 60.61 Mn | 30.41 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 11.54 Mn |
Gorman Rupp EBIT 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=ebit&ticker=GRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();