Gorman Rupp (GRC) Total Liabilities (2009 - 2026)
Gorman Rupp's Total Liabilities came in at $417.61 million for Q3 2026, down 10.1% from $464.74 million a year earlier and down 1.7% from the prior quarter.
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Analysis
Gorman Rupp (GRC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Gorman Rupp's Total Liabilities was $445.33 million, down 8.1% from FY2024.
- Total Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 41.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $484.67 million in FY2024 (-10.4%), $540.9 million in FY2023 (-0.1%), $541.64 million in FY2022 (+496.7%) and $90.78 million in FY2021 (+15.0%).
- The Q3 2026 figure represents the lowest quarterly Total Liabilities since Q1 2022.
- Year-over-year, Total Liabilities has declined for 12 consecutive quarters, with an average decline of 9.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2022 (growth of 498.0%), and the weakest in Q2 2025 (a decline of 12.9%).
- Business Quant data shows GRC's Total Liabilities at $425.02 million (Q2 2026), $436.3 million (Q1 2026) and $445.33 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 21.06 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Gorman Rupp | 1.85 Bn | 1.69 Bn | 64.52 Mn | 417.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 417.61 Mn |
| Jun 30, 2026 | 425.02 Mn |
| Mar 31, 2026 | 436.30 Mn |
| Dec 31, 2025 | 445.33 Mn |
| Sep 30, 2025 | 464.74 Mn |
| Jun 30, 2025 | 464.03 Mn |
| Mar 31, 2025 | 475.78 Mn |
| Dec 31, 2024 | 484.67 Mn |
| Sep 30, 2024 | 516.14 Mn |
| Jun 30, 2024 | 532.50 Mn |
| Mar 31, 2024 | 533.68 Mn |
| Dec 31, 2023 | 540.90 Mn |
| Sep 30, 2023 | 544.60 Mn |
| Jun 30, 2023 | 562.29 Mn |
| Mar 31, 2023 | 553.58 Mn |
| Dec 31, 2022 | 541.64 Mn |
| Sep 30, 2022 | 543.85 Mn |
| Jun 30, 2022 | 546.93 Mn |
| Mar 31, 2022 | 98.08 Mn |
| Dec 31, 2021 | 90.78 Mn |
API Access
Gorman Rupp Total 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-liabilities&ticker=GRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();