Gorman Rupp (GRC) Inventory (2009 - 2026)
Gorman Rupp (GRC) reported Inventory of $84.9 million for Q3 2026, down 10.4% from $94.79 million a year earlier and down 2.6% from the prior quarter.
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Analysis
Gorman Rupp (GRC) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Gorman Rupp posted Inventory of $96.46 million, down 2.8% from FY2024.
- Inventory has declined for three consecutive years, though with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- By year, Inventory came in at $99.21 million in FY2024 (-4.8%), $104.16 million in FY2023 (-6.3%), $111.13 million in FY2022 (+29.8%) and $85.65 million in FY2021 (+3.6%).
- The Q3 2026 figure ranks as the lowest quarterly Inventory since Q3 2021.
- Year over year, Inventory has now declined in each of the last 13 quarters, with an average decline of 5.6% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q3 2022 (growth of 30.0%); the low point was Q1 2024 (a decline of 13.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $87.13 million (Q2 2026), $95.92 million (Q1 2026) and $96.46 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 22.21 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 5.26 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 5.94 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 3.64 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 4.08 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 2.43 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.82 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 3.29 Bn |
| 10 | Gorman Rupp | 1.85 Bn | 1.69 Bn | 64.52 Mn | 84.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 84.90 Mn |
| Jun 30, 2026 | 87.13 Mn |
| Mar 31, 2026 | 95.92 Mn |
| Dec 31, 2025 | 96.46 Mn |
| Sep 30, 2025 | 94.79 Mn |
| Jun 30, 2025 | 97.35 Mn |
| Mar 31, 2025 | 99.15 Mn |
| Dec 31, 2024 | 99.21 Mn |
| Sep 30, 2024 | 101.78 Mn |
| Jun 30, 2024 | 101.70 Mn |
| Mar 31, 2024 | 101.05 Mn |
| Dec 31, 2023 | 104.16 Mn |
| Sep 30, 2023 | 103.53 Mn |
| Jun 30, 2023 | 115.82 Mn |
| Mar 31, 2023 | 116.76 Mn |
| Dec 31, 2022 | 111.13 Mn |
| Sep 30, 2022 | 105.85 Mn |
| Jun 30, 2022 | 101.13 Mn |
| Mar 31, 2022 | 89.97 Mn |
| Dec 31, 2021 | 85.65 Mn |
API Access
Gorman Rupp Inventory 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=inventory&ticker=GRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();