Gorman Rupp (GRC) Assets (2010 - 2026)
Gorman Rupp's Assets was $866.45 million in Q2 2026, up 0.5% from $861.8 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Gorman Rupp (GRC) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Assets at Gorman Rupp came in at $860.06 million, up 0.2% from FY2024.
- Assets shows a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- In earlier years, Assets was $858.47 million in FY2024 (-3.6%), $890.36 million in FY2023 (+2.0%), $872.83 million in FY2022 (+107.4%) and $420.75 million in FY2021 (+6.7%).
- Quarterly Assets has moved between $420.75 million (Q4 2021) and $903.65 million (Q2 2023) over five years.
- Compared with a year earlier, Assets has increased for three straight quarters, with an average decline of 1.4% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was Q2 2022 (growth of 110.0%); the worst was Q4 2024 (a decline of 3.6%).
- Per Business Quant data, GRC's Assets in the three quarters before Q2 2026 was $861.9 million (Q1 2026), $860.06 million (Q4 2025) and $869.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 102.61 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 44.81 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 107.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 56.18 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 30.88 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 15.90 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 42.21 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 34.92 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 16.49 Bn |
| 10 | Gorman Rupp | 1.98 Bn | 1.83 Bn | 60.61 Mn | 866.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 866.45 Mn |
| Mar 31, 2026 | 861.90 Mn |
| Dec 31, 2025 | 860.06 Mn |
| Sep 30, 2025 | 869.90 Mn |
| Jun 30, 2025 | 861.80 Mn |
| Mar 31, 2025 | 857.85 Mn |
| Dec 31, 2024 | 858.47 Mn |
| Sep 30, 2024 | 883.47 Mn |
| Jun 30, 2024 | 891.06 Mn |
| Mar 31, 2024 | 887.36 Mn |
| Dec 31, 2023 | 890.36 Mn |
| Sep 30, 2023 | 891.38 Mn |
| Jun 30, 2023 | 903.65 Mn |
| Mar 31, 2023 | 885.02 Mn |
| Dec 31, 2022 | 872.83 Mn |
| Sep 30, 2022 | 870.82 Mn |
| Jun 30, 2022 | 874.30 Mn |
| Mar 31, 2022 | 431.32 Mn |
| Dec 31, 2021 | 420.75 Mn |
| Sep 30, 2021 | 421.88 Mn |
API Access
Gorman Rupp Assets 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=assets&ticker=GRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();