Gorman Rupp (GRC) EBITDA (2010 - 2026)
Gorman Rupp (GRC) posted EBITDA of $37.49 million for Q2 2026, up 10.6% from $33.89 million a year earlier and up 8.8% from the prior quarter.
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Analysis
Gorman Rupp (GRC) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Gorman Rupp was $132.06 million, up 8.5% year-over-year; for FY2025, it was $123.07 million, up 3.1% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- In prior years, Gorman Rupp's EBITDA was $119.34 million in FY2024 (+3.3%), $115.54 million in FY2023 (+88.4%), $61.34 million in FY2022 (+19.6%) and $51.27 million in FY2021 (+5.8%).
- The Q2 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 three quarters, with growth averaging 5.7% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2023, with growth of 337.6%; the weakest was Q2 2022, with a decline of 47.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $34.47 million (Q1 2026), $31.74 million (Q4 2025) and $28.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 1.89 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 754.30 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Gorman Rupp | 1.95 Bn | 1.80 Bn | 60.61 Mn | 37.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 14.50 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();