Gorman Rupp (GRC) Non-Current Assets (2010 - 2026)
Gorman Rupp's Non-Current Assets was $618.31 million in Q2 2026, down 1.9% from $630.51 million a year earlier and down 0.7% from the prior quarter.
Powered by 
Analysis
Gorman Rupp (GRC) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Gorman Rupp came in at $626.36 million, down 1.8% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 33.5% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $637.64 million in FY2024 (-2.5%), $654.25 million in FY2023 (+1.1%), $647.3 million in FY2022 (+350.9%) and $143.57 million in FY2021 (-2.8%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Assets since Q1 2022.
- Compared with a year earlier, Non-Current Assets has declined for nine straight quarters, with an average decline of 2.1% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q1 2023 (growth of 354.0%); the worst was Q3 2021 (a decline of 5.7%).
- Per Business Quant data, GRC's Non-Current Assets in the three quarters before Q2 2026 was $622.74 million (Q1 2026), $626.36 million (Q4 2025) and $630.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Gorman Rupp | 2.01 Bn | 1.86 Bn | 60.61 Mn | 618.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 618.31 Mn |
| Mar 31, 2026 | 622.74 Mn |
| Dec 31, 2025 | 626.36 Mn |
| Sep 30, 2025 | 630.64 Mn |
| Jun 30, 2025 | 630.51 Mn |
| Mar 31, 2025 | 633.58 Mn |
| Dec 31, 2024 | 637.64 Mn |
| Sep 30, 2024 | 642.84 Mn |
| Jun 30, 2024 | 644.64 Mn |
| Mar 31, 2024 | 651.16 Mn |
| Dec 31, 2023 | 654.25 Mn |
| Sep 30, 2023 | 658.25 Mn |
| Jun 30, 2023 | 662.83 Mn |
| Mar 31, 2023 | 647.60 Mn |
| Dec 31, 2022 | 647.30 Mn |
| Sep 30, 2022 | 645.25 Mn |
| Jun 30, 2022 | 650.84 Mn |
| Mar 31, 2022 | 142.63 Mn |
| Dec 31, 2021 | 143.57 Mn |
| Sep 30, 2021 | 143.34 Mn |
API Access
Gorman Rupp Non-Current 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=non-current-assets&ticker=GRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();