Gorman Rupp (GRC) Property, Plant & Equipment (Net) (2009 - 2026)
Gorman Rupp (GRC) recorded Property, Plant & Equipment (Net) of $133.42 million in Q3 2026, down 0.2% from $133.75 million a year earlier but up 0.1% from the prior quarter.
Gorman Rupp (GRC) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Gorman Rupp reported Property, Plant & Equipment (Net) of $134.13 million, up 1.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $131.82 million in FY2024 (-2.3%), $134.87 million in FY2023 (+4.8%), $128.64 million in FY2022 (+23.3%) and $104.29 million in FY2021 (-4.0%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $104.24 million in Q1 2022 to $136.05 million in Q2 2023 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in four of the last eight quarters, with an average decline of 0.2%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 26.8% in Q1 2023, against a decline of 4.0% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $133.29 million (Q2 2026), $134.01 million (Q1 2026) and $134.13 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 16.01 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.24 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 8.01 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 4.82 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 3.43 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 6.97 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 2.86 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 2.25 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 1.32 Bn |
| 10 | Gorman Rupp | 1.85 Bn | 1.69 Bn | 64.52 Mn | 133.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 133.42 Mn |
| Jun 30, 2026 | 133.29 Mn |
| Mar 31, 2026 | 134.01 Mn |
| Dec 31, 2025 | 134.13 Mn |
| Sep 30, 2025 | 133.75 Mn |
| Jun 30, 2025 | 130.92 Mn |
| Mar 31, 2025 | 131.51 Mn |
| Dec 31, 2024 | 131.82 Mn |
| Sep 30, 2024 | 133.62 Mn |
| Jun 30, 2024 | 133.83 Mn |
| Mar 31, 2024 | 134.86 Mn |
| Dec 31, 2023 | 134.87 Mn |
| Sep 30, 2023 | 135.60 Mn |
| Jun 30, 2023 | 136.05 Mn |
| Mar 31, 2023 | 132.19 Mn |
| Dec 31, 2022 | 128.64 Mn |
| Sep 30, 2022 | 127.80 Mn |
| Jun 30, 2022 | 130.02 Mn |
| Mar 31, 2022 | 104.24 Mn |
| Dec 31, 2021 | 104.29 Mn |
Gorman Rupp Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();