Gorman Rupp (GRC) Non Operating Interest Expenses (2022 - 2026)
Gorman Rupp's Non Operating Interest Expenses came in at $4.66 million for Q2 2026, down 22.2% from $5.99 million a year earlier and down 6.2% from the prior quarter.
Gorman Rupp (GRC) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gorman Rupp reported Non Operating Interest Expenses of $20.83 million, down 22.0% year-over-year; for FY2025, it came in at $23.4 million, down 30.4% from FY2024.
- Non Operating Interest Expenses carries a three-year compound annual growth rate of 6.7% (FY2022 to FY2025).
- Going back by year, Non Operating Interest Expenses was $33.62 million in FY2024 (-18.5%), $41.27 million in FY2023 (+114.5%) and $19.24 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Non Operating Interest Expenses since Q2 2022.
- Year-over-year, Non Operating Interest Expenses has declined for ten consecutive quarters, with an average decline of 27.3% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2023 (growth of 351.6%), and the weakest in Q1 2025 (a decline of 38.4%).
- Business Quant data shows GRC's Non Operating Interest Expenses at $4.97 million (Q1 2026), $5.42 million (Q4 2025) and $5.79 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Gorman Rupp | 1.97 Bn | 1.82 Bn | 60.61 Mn | 4.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.66 Mn |
| Mar 31, 2026 | 4.97 Mn |
| Dec 31, 2025 | 5.42 Mn |
| Sep 30, 2025 | 5.79 Mn |
| Jun 30, 2025 | 5.99 Mn |
| Mar 31, 2025 | 6.20 Mn |
| Dec 31, 2024 | 6.74 Mn |
| Sep 30, 2024 | 7.77 Mn |
| Jun 30, 2024 | 9.05 Mn |
| Mar 31, 2024 | 10.07 Mn |
| Dec 31, 2023 | 10.13 Mn |
| Sep 30, 2023 | 10.48 Mn |
| Jun 30, 2023 | 10.49 Mn |
| Mar 31, 2023 | 10.19 Mn |
| Dec 31, 2022 | 9.36 Mn |
| Sep 30, 2022 | 7.56 Mn |
| Jun 30, 2022 | 2.32 Mn |
Gorman Rupp Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=GRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=GRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();