Heico (HEI) Other Operating Expenses (2009 - 2026)
Heico (HEI) posted Other Operating Expenses of $832.06 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 20.5% from $690.43 million a year earlier and up 3.2% from the prior quarter.
Heico (HEI) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Other Operating Expenses at Heico was $3.09 billion, up 18.9% year-over-year; for FY2025 (ended Oct 31, 2025), it was $2.7 billion, up 14.5% from FY2024.
- Annual Other Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- In prior fiscal years, Heico's Other Operating Expenses was $2.36 billion in FY2024 (+29.8%), $1.81 billion in FY2023 (+34.9%), $1.35 billion in FY2022 (+18.2%) and $1.14 billion in FY2021 (+3.0%).
- The fiscal Q3 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to fiscal Q3 2009.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 21 quarters, with growth averaging 15.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 8.4% (fiscal Q4 2024) to 54.9% (fiscal Q4 2023).
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $806.19 million (Q2 2026), $723.62 million (Q1 2026) and $723.57 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Heico | 41.49 Bn | 40.56 Bn | 580.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 832.06 Mn |
| Apr 30, 2026 | 806.19 Mn |
| Jan 31, 2026 | 723.62 Mn |
| Oct 31, 2025 | 723.57 Mn |
| Jul 31, 2025 | 690.43 Mn |
| Apr 30, 2025 | 660.02 Mn |
| Jan 31, 2025 | 624.56 Mn |
| Oct 31, 2024 | 619.77 Mn |
| Jul 31, 2024 | 602.98 Mn |
| Apr 30, 2024 | 583.60 Mn |
| Jan 31, 2024 | 549.59 Mn |
| Oct 31, 2023 | 572.00 Mn |
| Jul 31, 2023 | 444.17 Mn |
| Apr 30, 2023 | 421.33 Mn |
| Jan 31, 2023 | 377.12 Mn |
| Oct 31, 2022 | 369.26 Mn |
| Jul 31, 2022 | 348.59 Mn |
| Apr 30, 2022 | 327.58 Mn |
| Jan 31, 2022 | 300.13 Mn |
| Oct 31, 2021 | 304.92 Mn |
Heico Other 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=other-operating-expenses&ticker=HEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=HEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();