Heico (HEI) Accumulated Expenses (2009 - 2026)
Heico (HEI) posted Accumulated Expenses of $676.26 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 44.5% from $467.95 million a year earlier and up 13.8% from the prior quarter.
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Analysis
Heico (HEI) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Heico's Accumulated Expenses came in at $577.62 million, up 35.0% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 28.9% (FY2020 to FY2025).
- In prior fiscal years, Heico's Accumulated Expenses was $427.78 million in FY2024 (-1.2%), $433.1 million in FY2023 (+49.2%), $290.2 million in FY2022 (+40.3%) and $206.86 million in FY2021 (+27.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2009.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last six quarters, with growth averaging 25.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2023, with growth of 60.3%; the weakest was fiscal Q1 2025, with a decline of 5.8%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $594.01 million (Q2 2026), $534.46 million (Q1 2026) and $577.62 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn |
| 10 | Heico | 41.91 Bn | 41.60 Bn | 580.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 676.26 Mn |
| Apr 30, 2026 | 594.01 Mn |
| Jan 31, 2026 | 534.46 Mn |
| Oct 31, 2025 | 577.62 Mn |
| Jul 31, 2025 | 467.95 Mn |
| Apr 30, 2025 | 382.95 Mn |
| Jan 31, 2025 | 359.53 Mn |
| Oct 31, 2024 | 427.78 Mn |
| Jul 31, 2024 | 399.49 Mn |
| Apr 30, 2024 | 353.87 Mn |
| Jan 31, 2024 | 381.84 Mn |
| Oct 31, 2023 | 433.10 Mn |
| Jul 31, 2023 | 315.61 Mn |
| Apr 30, 2023 | 296.16 Mn |
| Jan 31, 2023 | 290.69 Mn |
| Oct 31, 2022 | 290.20 Mn |
| Jul 31, 2022 | 233.81 Mn |
| Apr 30, 2022 | 203.29 Mn |
| Jan 31, 2022 | 181.36 Mn |
| Oct 31, 2021 | 206.86 Mn |
API Access
Heico Accumulated 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=accumulated-expenses&ticker=HEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=HEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();