Heico (HEI) Change in Accured Expenses (2009 - 2026)
Heico (HEI) posted Change in Accured Expenses of $62.09 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 21.3% from $51.17 million a year earlier and up 98.3% from the prior quarter.
Heico (HEI) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Change in Accured Expenses at Heico was $18.92 million, down 46.1% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $44.61 million, up 101.9% from FY2024.
- In prior fiscal years, Heico's Change in Accured Expenses was $22.1 million in FY2024 (-69.6%), $72.59 million in FY2023 (+112.7%), $34.12 million in FY2022 (+1.5%) and $33.63 million in FY2021.
- The fiscal Q3 2026 figure stands as the highest quarterly Change in Accured Expenses in data going back to fiscal Q4 2009.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last five quarters, with growth averaging 3.5%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q3 2024, with growth of 284.2%; the weakest was fiscal Q2 2023, with a decline of 78.4%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $31.31 million (Q2 2026), -$107.19 million (Q1 2026) and $32.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 295.43 Bn | 253.94 Bn | 5.02 Bn | - |
| 2 | Rtx | 258.65 Bn | 226.92 Bn | 5.81 Bn | 1.81 Bn |
| 3 | Boeing | 148.98 Bn | 55.67 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 139.53 Bn | 123.76 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 94.40 Bn | 81.52 Bn | 2.18 Bn | - |
| 6 | Motorola Solutions | 79.77 Bn | 76.11 Bn | 1.68 Bn | 82.00 Mn |
| 7 | Northrop Grumman | 78.39 Bn | 65.85 Bn | 2.35 Bn | -32.00 Mn |
| 8 | Howmet Aerospace | 74.22 Bn | 69.82 Bn | 951.00 Mn | 41.00 Mn |
| 9 | Honeywell International | 70.30 Bn | 22.42 Bn | 3.65 Bn | 895.00 Mn |
| 10 | Heico | 41.55 Bn | 40.62 Bn | 580.99 Mn | 62.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 62.09 Mn |
| Apr 30, 2026 | 31.31 Mn |
| Jan 31, 2026 | -107.19 Mn |
| Oct 31, 2025 | 32.70 Mn |
| Jul 31, 2025 | 51.17 Mn |
| Apr 30, 2025 | 24.63 Mn |
| Jan 31, 2025 | -63.90 Mn |
| Oct 31, 2024 | 23.21 Mn |
| Jul 31, 2024 | 56.99 Mn |
| Apr 30, 2024 | -7.65 Mn |
| Jan 31, 2024 | -50.45 Mn |
| Oct 31, 2023 | 60.43 Mn |
| Jul 31, 2023 | 14.84 Mn |
| Apr 30, 2023 | 4.91 Mn |
| Jan 31, 2023 | -7.58 Mn |
| Oct 31, 2022 | 21.16 Mn |
| Jul 31, 2022 | 28.91 Mn |
| Apr 30, 2022 | 22.78 Mn |
| Jan 31, 2022 | -38.73 Mn |
| Oct 31, 2021 | 21.10 Mn |
Heico Change in Accured 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=change-in-accured-expenses&ticker=HEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=HEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();