Hurco Companies (HURC) Operating Expenses (2010 - 2026)
Hurco Companies' Operating Expenses was $10.89 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 1.2% from $10.76 million a year earlier but down 2.2% from the prior quarter.
Hurco Companies (HURC) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hurco Companies' Operating Expenses was $44.33 million through Jul 31, 2026, down 0.9% year-over-year; for FY2025 (ended Oct 31, 2025), it was $43.25 million, down 6.0% from FY2024.
- Operating Expenses has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $46.03 million in FY2024 (-7.1%), $49.55 million in FY2023 (-4.2%), $51.73 million in FY2022 (+12.5%) and $46 million in FY2021 (+11.1%).
- Quarterly Operating Expenses has moved between $10.38 million (fiscal Q3 2024) and $14.87 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with an average decline of 2.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2021 (growth of 33.7%); the worst was fiscal Q3 2024 (a decline of 16.6%).
- Per Business Quant data, HURC's Operating Expenses in the three fiscal quarters before Q3 2026 was $11.13 million (Q2 2026), $11.11 million (Q1 2026) and $11.21 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Hurco Companies | 142.41 Mn | -56.45 Mn | 13.18 Mn | 10.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.89 Mn |
| Apr 30, 2026 | 11.13 Mn |
| Jan 31, 2026 | 11.11 Mn |
| Oct 31, 2025 | 11.21 Mn |
| Jul 31, 2025 | 10.76 Mn |
| Apr 30, 2025 | 10.90 Mn |
| Jan 31, 2025 | 10.38 Mn |
| Oct 31, 2024 | 12.68 Mn |
| Jul 31, 2024 | 10.38 Mn |
| Apr 30, 2024 | 11.46 Mn |
| Jan 31, 2024 | 11.52 Mn |
| Oct 31, 2023 | 14.04 Mn |
| Jul 31, 2023 | 12.44 Mn |
| Apr 30, 2023 | 11.59 Mn |
| Jan 31, 2023 | 11.48 Mn |
| Oct 31, 2022 | 14.87 Mn |
| Jul 31, 2022 | 12.65 Mn |
| Apr 30, 2022 | 12.52 Mn |
| Jan 31, 2022 | 11.70 Mn |
| Oct 31, 2021 | 13.83 Mn |
Hurco Companies Operating 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=operating-expenses&ticker=HURC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HURC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HURC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();