Heico (HEI-A) Interest Expenses (2009 - 2026)
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Analysis
Heico (HEI-A) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 35.90 Mn |
| Apr 30, 2026 | 34.16 Mn |
| Jan 31, 2026 | 29.49 Mn |
| Oct 31, 2025 | 32.85 Mn |
| Jul 31, 2025 | 31.70 Mn |
| Apr 30, 2025 | 32.87 Mn |
| Jan 31, 2025 | 32.46 Mn |
| Oct 31, 2024 | 35.41 Mn |
| Jul 31, 2024 | 36.79 Mn |
| Apr 30, 2024 | 38.51 Mn |
| Jan 31, 2024 | 38.61 Mn |
| Oct 31, 2023 | 43.42 Mn |
| Jul 31, 2023 | 12.12 Mn |
| Apr 30, 2023 | 11.37 Mn |
| Jan 31, 2023 | 6.07 Mn |
| Oct 31, 2022 | 3.21 Mn |
| Jul 31, 2022 | 1.41 Mn |
| Apr 30, 2022 | 979,000.00 |
| Jan 31, 2022 | 796,000.00 |
| Oct 31, 2021 | 1.04 Mn |
API Access
Heico Interest 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=interest-expenses&ticker=HEI-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "HEI-A", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=HEI-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();