Heico (HEI-A) Selling, General & Administrative (2009 - 2026)
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Analysis
Heico (HEI-A) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 225.79 Mn |
| Apr 30, 2026 | 219.09 Mn |
| Jan 31, 2026 | 195.07 Mn |
| Oct 31, 2025 | 206.82 Mn |
| Jul 31, 2025 | 192.14 Mn |
| Apr 30, 2025 | 189.65 Mn |
| Jan 31, 2025 | 178.86 Mn |
| Oct 31, 2024 | 175.25 Mn |
| Jul 31, 2024 | 172.82 Mn |
| Apr 30, 2024 | 162.64 Mn |
| Jan 31, 2024 | 166.56 Mn |
| Oct 31, 2023 | 175.00 Mn |
| Jul 31, 2023 | 129.37 Mn |
| Apr 30, 2023 | 109.42 Mn |
| Jan 31, 2023 | 114.37 Mn |
| Oct 31, 2022 | 93.89 Mn |
| Jul 31, 2022 | 92.19 Mn |
| Apr 30, 2022 | 88.45 Mn |
| Jan 31, 2022 | 91.39 Mn |
| Oct 31, 2021 | 89.47 Mn |
API Access
Heico Selling, General & Administrative 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=selling-general-and-administrative&ticker=HEI-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HEI-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();