Heico (HEI) Long-Term Debt Repayments (2009 - 2026)
Heico (HEI) reported Long-Term Debt Repayments of $1.44 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 697.2% from $180 million a year earlier and up 366.4% from the prior quarter.
Heico (HEI) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Heico's Long-Term Debt Repayments came in at $2.12 billion, up 450.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $550 million, up 50.7% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 51.9% (FY2020 to FY2025).
- By fiscal year, Long-Term Debt Repayments came in at $365 million in FY2024 (-63.1%), $989 million in FY2023 (+366.5%), $212 million in FY2022 (-58.0%) and $505 million in FY2021 (+642.6%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Long-Term Debt Repayments in data going back to fiscal Q4 2009.
- Year over year, Long-Term Debt Repayments has now increased in each of the last five quarters, with growth averaging 198.2% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q3 2026 (growth of 697.2%); the low point was fiscal Q3 2024 (a decline of 82.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $307.7 million (Q2 2026), $103 million (Q1 2026) and $275 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn | 248.00 Mn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn | 2.00 Mn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn | 168.00 Mn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn | 500.00 Mn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn | 186.00 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 | 582.00 Mn |
| 10 | Heico | 41.49 Bn | 40.56 Bn | 580.99 Mn | 1.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.44 Bn |
| Apr 30, 2026 | 307.70 Mn |
| Jan 31, 2026 | 103.00 Mn |
| Oct 31, 2025 | 275.00 Mn |
| Jul 31, 2025 | 180.00 Mn |
| Apr 30, 2025 | 75.00 Mn |
| Jan 31, 2025 | 20.00 Mn |
| Oct 31, 2024 | 110.00 Mn |
| Jul 31, 2024 | 130.00 Mn |
| Apr 30, 2024 | 110.00 Mn |
| Jan 31, 2024 | 15.00 Mn |
| Oct 31, 2023 | 150.00 Mn |
| Jul 31, 2023 | 731.00 Mn |
| Apr 30, 2023 | 70.00 Mn |
| Jan 31, 2023 | 38.00 Mn |
| Oct 31, 2022 | 55.00 Mn |
| Jul 31, 2022 | 92.00 Mn |
| Apr 30, 2022 | 40.00 Mn |
| Jan 31, 2022 | 25.00 Mn |
| Oct 31, 2021 | 150.00 Mn |
Heico Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=HEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=HEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();