Gencor Industries (GENC) Operating Expenses (2010 - 2026)
Gencor Industries' Operating Expenses came in at $3.63 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 9.3% from $4.01 million a year earlier and down 43.9% from the prior quarter.
Gencor Industries (GENC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gencor Industries reported Operating Expenses of $18.53 million, up 8.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $17.7 million, up 0.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $17.64 million in FY2024 (+13.0%), $15.61 million in FY2023 (-4.7%), $16.38 million in FY2022 (-6.3%) and $17.48 million in FY2021 (+30.3%).
- The fiscal Q3 2026 figure represents the lowest quarterly Operating Expenses since fiscal Q3 2022.
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with growth averaging 2.8%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2024 (growth of 33.4%), and the weakest in fiscal Q1 2023 (a decline of 22.2%).
- Business Quant data shows GENC's Operating Expenses at $6.47 million (Q2 2026), $3.65 million (Q1 2026) and $4.77 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | - |
| 10 | Gencor Industries | 212.97 Mn | -390.37 Mn | 9.43 Mn | 3.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.63 Mn |
| Mar 31, 2026 | 6.47 Mn |
| Dec 31, 2025 | 3.65 Mn |
| Sep 30, 2025 | 4.77 Mn |
| Jun 30, 2025 | 4.01 Mn |
| Mar 31, 2025 | 4.87 Mn |
| Dec 31, 2024 | 4.04 Mn |
| Sep 30, 2024 | 4.13 Mn |
| Jun 30, 2024 | 4.11 Mn |
| Mar 31, 2024 | 5.25 Mn |
| Dec 31, 2023 | 4.15 Mn |
| Sep 30, 2023 | 3.92 Mn |
| Jun 30, 2023 | 4.06 Mn |
| Mar 31, 2023 | 3.94 Mn |
| Dec 31, 2022 | 3.70 Mn |
| Sep 30, 2022 | 3.82 Mn |
| Jun 30, 2022 | 3.53 Mn |
| Mar 31, 2022 | 4.28 Mn |
| Dec 31, 2021 | 4.75 Mn |
| Sep 30, 2021 | 4.15 Mn |
Gencor Industries 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=GENC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GENC", "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=GENC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();