Gencor Industries (GENC) EBITDA (2010 - 2026)
Gencor Industries (GENC) posted EBITDA of $6.28 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 69.2% from $3.71 million a year earlier and up 31.9% from the prior quarter.
Gencor Industries (GENC) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Gencor Industries was $15.04 million, down 15.9% year-over-year; for FY2025 (ended Sep 30, 2025), it was $16.37 million, up 0.5% from FY2024.
- Annual EBITDA has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In prior fiscal years, Gencor Industries' EBITDA was $16.29 million in FY2024 (+0.2%), $16.26 million in FY2023 (+132.6%), $6.99 million in FY2022 (+112.3%) and $3.29 million in FY2021 (-54.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBITDA since fiscal Q2 2025.
- On a year-over-year basis, EBITDA increased in three of the last eight quarters, with an average decline of 7.4%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q2 2023, with growth of 138.1%; the weakest was fiscal Q4 2025, with a decline of 81.2%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $4.77 million (Q2 2026), $3.64 million (Q1 2026) and $351,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Gencor Industries | 212.97 Mn | -390.37 Mn | 9.43 Mn | 6.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.28 Mn |
| Mar 31, 2026 | 4.77 Mn |
| Dec 31, 2025 | 3.64 Mn |
| Sep 30, 2025 | 351,000.00 |
| Jun 30, 2025 | 3.71 Mn |
| Mar 31, 2025 | 7.06 Mn |
| Dec 31, 2024 | 5.25 Mn |
| Sep 30, 2024 | 1.87 Mn |
| Jun 30, 2024 | 2.64 Mn |
| Mar 31, 2024 | 7.74 Mn |
| Dec 31, 2023 | 4.05 Mn |
| Sep 30, 2023 | 3.44 Mn |
| Jun 30, 2023 | 4.15 Mn |
| Mar 31, 2023 | 5.85 Mn |
| Dec 31, 2022 | 2.82 Mn |
| Sep 30, 2022 | 1.91 Mn |
| Jun 30, 2022 | 2.92 Mn |
| Mar 31, 2022 | 2.46 Mn |
| Dec 31, 2021 | -293,000.00 |
| Sep 30, 2021 | -46,000.00 |
Gencor Industries EBITDA 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=ebitda&ticker=GENC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GENC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();