Gorman Rupp (GRC) EBITDA (2009 - 2026)
Gorman Rupp (GRC) posted EBITDA of $41.71 million for Q3 2026, up 45.6% from $28.66 million a year earlier and up 10.4% from the prior quarter.
Powered by 
Analysis
Gorman Rupp (GRC) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Gorman Rupp was $146.3 million, up 21.4% year-over-year; for FY2025, it was $124.25 million, down 1.2% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- In prior years, Gorman Rupp's EBITDA was $125.75 million in FY2024 (+6.1%), $118.55 million in FY2023 (+88.0%), $63.06 million in FY2022 (+23.0%) and $51.27 million in FY2021 (+5.8%).
- The Q3 2026 figure stands as the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA has increased in each of the last four quarters, with growth averaging 8.5% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2023, with growth of 333.6%; the weakest was Q2 2022, with a decline of 45.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $37.79 million (Q2 2026), $34.77 million (Q1 2026) and $32.03 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.72 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Gorman Rupp | 1.85 Bn | 1.69 Bn | 64.52 Mn | 41.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.71 Mn |
| Jun 30, 2026 | 37.79 Mn |
| Mar 31, 2026 | 34.77 Mn |
| Dec 31, 2025 | 32.03 Mn |
| Sep 30, 2025 | 28.66 Mn |
| Jun 30, 2025 | 34.18 Mn |
| Mar 31, 2025 | 29.38 Mn |
| Dec 31, 2024 | 28.30 Mn |
| Sep 30, 2024 | 31.07 Mn |
| Jun 30, 2024 | 38.12 Mn |
| Mar 31, 2024 | 28.26 Mn |
| Dec 31, 2023 | 29.86 Mn |
| Sep 30, 2023 | 29.68 Mn |
| Jun 30, 2023 | 32.14 Mn |
| Mar 31, 2023 | 26.88 Mn |
| Dec 31, 2022 | 20.24 Mn |
| Sep 30, 2022 | 23.01 Mn |
| Jun 30, 2022 | 7.41 Mn |
| Mar 31, 2022 | 12.39 Mn |
| Dec 31, 2021 | 11.23 Mn |
API Access
Gorman Rupp EBITDA 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=ebitda&ticker=GRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();