Heico (HEI) Operating Expenses (2009 - 2026)
Heico (HEI) recorded Operating Expenses of $1.06 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 19.9% from $882.57 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Heico (HEI) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Heico's Operating Expenses came in at $3.93 billion as of Jul 31, 2026, up 18.1% year-over-year; for FY2025 (ended Oct 31, 2025), it was $3.47 billion, up 14.3% from FY2024.
- Annual Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $3.03 billion in FY2024 (+29.5%), $2.34 billion in FY2023 (+36.9%), $1.71 billion in FY2022 (+16.2%) and $1.47 billion in FY2021 (+4.4%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Expenses in data going back to fiscal Q3 2009.
- On a year-over-year basis, Operating Expenses has increased for 22 consecutive quarters, with growth averaging 14.8% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 6.4% (fiscal Q4 2024) and 61.3% (fiscal Q4 2023) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $1.03 billion (Q2 2026), $918.68 million (Q1 2026) and $930.39 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Heico | 42.34 Bn | 42.03 Bn | 580.99 Mn | 1.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.06 Bn |
| Apr 30, 2026 | 1.03 Bn |
| Jan 31, 2026 | 918.68 Mn |
| Oct 31, 2025 | 930.39 Mn |
| Jul 31, 2025 | 882.57 Mn |
| Apr 30, 2025 | 849.67 Mn |
| Jan 31, 2025 | 803.42 Mn |
| Oct 31, 2024 | 795.02 Mn |
| Jul 31, 2024 | 775.80 Mn |
| Apr 30, 2024 | 746.24 Mn |
| Jan 31, 2024 | 716.15 Mn |
| Oct 31, 2023 | 747.00 Mn |
| Jul 31, 2023 | 573.54 Mn |
| Apr 30, 2023 | 530.75 Mn |
| Jan 31, 2023 | 491.48 Mn |
| Oct 31, 2022 | 463.14 Mn |
| Jul 31, 2022 | 440.78 Mn |
| Apr 30, 2022 | 416.04 Mn |
| Jan 31, 2022 | 391.52 Mn |
| Oct 31, 2021 | 394.39 Mn |
API Access
Heico 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=HEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();