Gorman Rupp (GRC) Inventory (2010 - 2026)
Gorman Rupp (GRC) reported Inventory of $87.13 million for Q2 2026, down 10.5% from $97.35 million a year earlier and down 9.2% from the prior quarter.
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Analysis
Gorman Rupp (GRC) Inventory (2010 - 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 Q2 2026 figure ranks as the lowest quarterly Inventory since Q4 2021.
- Year over year, Inventory has now declined in each of the last 12 quarters, with an average decline of 4.5% 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 Q2 2026 came in at $95.92 million (Q1 2026), $96.46 million (Q4 2025) and $94.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Gorman Rupp | 2.01 Bn | 1.86 Bn | 60.61 Mn | 87.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 81.41 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();