Gorman Rupp (GRC) Total Current Liabilities (2010 - 2026)
Gorman Rupp (GRC) posted Total Current Liabilities of $88.41 million for Q2 2026, down 8.5% from $96.67 million a year earlier but up 8.4% from the prior quarter.
Gorman Rupp (GRC) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Gorman Rupp's Total Current Liabilities came in at $98.61 million, up 12.7% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- In prior years, Gorman Rupp's Total Current Liabilities was $87.53 million in FY2024 (-13.1%), $100.68 million in FY2023 (+18.1%), $85.21 million in FY2022 (+62.5%) and $52.44 million in FY2021 (+36.2%).
- Quarterly Total Current Liabilities has run from a low of $52.44 million in Q4 2021 to a high of $115.21 million in Q3 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in two of the last eight quarters, with an average decline of 2.6%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2022, with growth of 77.8%; the weakest was Q4 2024, with a decline of 13.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $81.52 million (Q1 2026), $98.61 million (Q4 2025) and $115.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Gorman Rupp | 2.01 Bn | 1.86 Bn | 60.61 Mn | 88.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.41 Mn |
| Mar 31, 2026 | 81.52 Mn |
| Dec 31, 2025 | 98.61 Mn |
| Sep 30, 2025 | 115.21 Mn |
| Jun 30, 2025 | 96.67 Mn |
| Mar 31, 2025 | 92.68 Mn |
| Dec 31, 2024 | 87.53 Mn |
| Sep 30, 2024 | 100.52 Mn |
| Jun 30, 2024 | 100.77 Mn |
| Mar 31, 2024 | 101.71 Mn |
| Dec 31, 2023 | 100.68 Mn |
| Sep 30, 2023 | 102.45 Mn |
| Jun 30, 2023 | 96.19 Mn |
| Mar 31, 2023 | 95.33 Mn |
| Dec 31, 2022 | 85.21 Mn |
| Sep 30, 2022 | 94.90 Mn |
| Jun 30, 2022 | 92.15 Mn |
| Mar 31, 2022 | 59.51 Mn |
| Dec 31, 2021 | 52.44 Mn |
| Sep 30, 2021 | 54.77 Mn |
Gorman Rupp Total Current Liabilities 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=total-current-liabilities&ticker=GRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();