Heico (HEI-A) Revenue (2009 - 2026)
Analysis
Heico (HEI-A) Revenue (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.41 Bn |
| Apr 30, 2026 | 1.38 Bn |
| Jan 31, 2026 | 1.18 Bn |
| Oct 31, 2025 | 1.21 Bn |
| Jul 31, 2025 | 1.15 Bn |
| Apr 30, 2025 | 1.10 Bn |
| Jan 31, 2025 | 1.03 Bn |
| Oct 31, 2024 | 1.01 Bn |
| Jul 31, 2024 | 992.25 Mn |
| Apr 30, 2024 | 955.40 Mn |
| Jan 31, 2024 | 896.36 Mn |
| Oct 31, 2023 | 936.45 Mn |
| Jul 31, 2023 | 722.90 Mn |
| Apr 30, 2023 | 687.84 Mn |
| Jan 31, 2023 | 620.92 Mn |
| Oct 31, 2022 | 609.64 Mn |
| Jul 31, 2022 | 569.53 Mn |
| Apr 30, 2022 | 538.81 Mn |
| Jan 31, 2022 | 490.34 Mn |
| Oct 31, 2021 | 509.42 Mn |
API Access
Heico Revenue 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=revenue&ticker=HEI-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HEI-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();