Azul (AZUXY) Revenue (2016 - 2026)
Analysis
Azul (AZUXY) Revenue (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 983.68 Mn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | 1.08 Bn |
| Sep 30, 2025 | 336.11 Mn |
| Jun 30, 2025 | 873.00 Mn |
| Mar 31, 2025 | 920.60 Mn |
| Dec 31, 2024 | 954.21 Mn |
| Sep 30, 2024 | 925.06 Mn |
| Jun 30, 2024 | 802.52 Mn |
| Mar 31, 2024 | 946.11 Mn |
| Dec 31, 2023 | 990.89 Mn |
| Sep 30, 2023 | 1.01 Bn |
| Jun 30, 2023 | 859.02 Mn |
| Mar 31, 2023 | 862.42 Mn |
| Dec 31, 2022 | 846.54 Mn |
| Sep 30, 2022 | 0.08 |
| Jun 30, 2022 | 801.01 Mn |
| Mar 31, 2022 | 610.96 Mn |
| Dec 31, 2021 | 36.13 Mn |
| Sep 30, 2021 | 1.20 Bn |
API Access
Azul 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=AZUXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "AZUXY", "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=AZUXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();