Heico (HEI) EBITDA (2009 - 2026)
Heico's EBITDA came in at $413.94 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 31.5% from $314.79 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Heico (HEI) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Heico reported EBITDA of $1.46 billion, up 27.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.22 billion, up 21.5% from FY2024.
- EBITDA has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- Going back by fiscal year, EBITDA was $999.79 million in FY2024 (+32.4%), $755.38 million in FY2023 (+27.3%), $593.18 million in FY2022 (+22.1%) and $485.92 million in FY2021 (+4.5%).
- The fiscal Q3 2026 figure represents the highest quarterly EBITDA in data going back to fiscal Q4 2009.
- Year-over-year, EBITDA has increased for 21 consecutive quarters, with growth averaging 22.7% over the last eight quarters.
- The year-over-year growth in EBITDA has ranged between 12.9% (fiscal Q4 2024) and 45.8% (fiscal Q3 2024) over the last five years.
- Business Quant data shows HEI's EBITDA at $407.07 million (Q2 2026), $310.91 million (Q1 2026) and $330.23 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Heico | 42.34 Bn | 42.03 Bn | 580.99 Mn | 413.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 413.94 Mn |
| Apr 30, 2026 | 407.07 Mn |
| Jan 31, 2026 | 310.91 Mn |
| Oct 31, 2025 | 330.23 Mn |
| Jul 31, 2025 | 314.79 Mn |
| Apr 30, 2025 | 297.03 Mn |
| Jan 31, 2025 | 273.03 Mn |
| Oct 31, 2024 | 263.33 Mn |
| Jul 31, 2024 | 260.76 Mn |
| Apr 30, 2024 | 251.98 Mn |
| Jan 31, 2024 | 223.72 Mn |
| Oct 31, 2023 | 233.18 Mn |
| Jul 31, 2023 | 178.90 Mn |
| Apr 30, 2023 | 186.81 Mn |
| Jan 31, 2023 | 156.49 Mn |
| Oct 31, 2022 | 172.31 Mn |
| Jul 31, 2022 | 152.57 Mn |
| Apr 30, 2022 | 146.26 Mn |
| Jan 31, 2022 | 122.04 Mn |
| Oct 31, 2021 | 139.23 Mn |
API Access
Heico 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=HEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "HEI", "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=HEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();