Gorman Rupp (GRC) Total Non-Current Liabilities (2014 - 2026)
Gorman Rupp's Total Non-Current Liabilities came in at $376.29 million for Q3 2026, down 15.3% from $444.21 million a year earlier and down 4.3% from the prior quarter.
Gorman Rupp (GRC) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Gorman Rupp's Total Non-Current Liabilities was $412.97 million, down 11.1% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three years, with a three-year compound annual growth rate of -8.6% (FY2022 to FY2025).
- Going back by year, Total Non-Current Liabilities was $464.43 million in FY2024 (-10.3%), $517.54 million in FY2023 (-4.3%) and $540.84 million in FY2022.
- The Q3 2026 figure represents the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2022.
- Year-over-year, Total Non-Current Liabilities has declined for four consecutive quarters, with an average decline of 11.8% over the last five quarters.
- Business Quant data shows GRC's Total Non-Current Liabilities at $393.34 million (Q2 2026), $404.32 million (Q1 2026) and $412.97 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 76.44 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.05 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 17.63 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Gorman Rupp | 1.85 Bn | 1.69 Bn | 64.52 Mn | 376.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 376.29 Mn |
| Jun 30, 2026 | 393.34 Mn |
| Mar 31, 2026 | 404.32 Mn |
| Dec 31, 2025 | 412.97 Mn |
| Sep 30, 2025 | 444.21 Mn |
| Jun 30, 2025 | 443.24 Mn |
| Mar 31, 2025 | 455.07 Mn |
| Dec 31, 2024 | 464.43 Mn |
| Dec 31, 2023 | 517.54 Mn |
| Mar 31, 2023 | 550.78 Mn |
| Dec 31, 2022 | 540.84 Mn |
| Dec 31, 2021 | 90.78 Mn |
| Dec 31, 2020 | 78.94 Mn |
| Dec 31, 2019 | 74.88 Mn |
| Dec 31, 2018 | -21.85 Mn |
| Dec 31, 2017 | -15.74 Mn |
| Dec 31, 2016 | -20.71 Mn |
| Dec 31, 2015 | -20.78 Mn |
| Dec 31, 2014 | 4.50 Mn |
Gorman Rupp Total Non-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-non-current-liabilities&ticker=GRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();