Heico (HEI) Change in Inventory (2009 - 2026)
Heico (HEI) posted Change in Inventory of $37.91 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 170.3% from $14.02 million a year earlier and up 62.3% from the prior quarter.
Heico (HEI) Change in Inventory (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Change in Inventory at Heico was $63.06 million, down 30.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $44.85 million, down 66.3% from FY2024.
- Annual Change in Inventory shows a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In prior fiscal years, Heico's Change in Inventory was $132.93 million in FY2024 (+6.5%), $124.78 million in FY2023 (+39.9%), $89.19 million in FY2022 (+781.2%) and $10.12 million in FY2021 (-64.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Change in Inventory since fiscal Q1 2024.
- On a year-over-year basis, Change in Inventory increased in two of the last seven quarters, with growth averaging 14.0%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q3 2024, with growth of 171.9%; the weakest was fiscal Q3 2025, with a decline of 54.9%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was $23.36 million (Q2 2026), $17.1 million (Q1 2026) and -$15.31 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn | 322.00 Mn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn | 543.00 Mn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn | 1.23 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn | 160.00 Mn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn | -80.00 Mn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn | 55.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn | 156.00 Mn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn | -53.00 Mn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn | 31.00 Mn |
| 10 | Heico | 41.49 Bn | 40.56 Bn | 580.99 Mn | 37.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 37.91 Mn |
| Apr 30, 2026 | 23.36 Mn |
| Jan 31, 2026 | 17.10 Mn |
| Oct 31, 2025 | -15.31 Mn |
| Jul 31, 2025 | 14.02 Mn |
| Apr 30, 2025 | 9.93 Mn |
| Jan 31, 2025 | 36.21 Mn |
| Oct 31, 2024 | 30.75 Mn |
| Jul 31, 2024 | 31.08 Mn |
| Apr 30, 2024 | 21.26 Mn |
| Jan 31, 2024 | 49.85 Mn |
| Oct 31, 2023 | 38.10 Mn |
| Jul 31, 2023 | 11.43 Mn |
| Apr 30, 2023 | 23.21 Mn |
| Jan 31, 2023 | 52.04 Mn |
| Oct 31, 2022 | 28.00 Mn |
| Jul 31, 2022 | 18.42 Mn |
| Apr 30, 2022 | 15.80 Mn |
| Jan 31, 2022 | 26.97 Mn |
| Oct 31, 2021 | 17.85 Mn |
Heico Change in Inventory 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-inventory&ticker=HEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=HEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();