Azul (AZUXY) EBT (2016 - 2026)
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Analysis
Azul (AZUXY) EBT (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -205.72 Mn |
| Mar 31, 2026 | -283.70 Mn |
| Dec 31, 2025 | -307.35 Mn |
| Sep 30, 2025 | -250.79 Mn |
| Jun 30, 2025 | 228.46 Mn |
| Mar 31, 2025 | 282.20 Mn |
| Dec 31, 2024 | -1.40 Bn |
| Sep 30, 2024 | 21.98 Mn |
| Jun 30, 2024 | -738.93 Mn |
| Mar 31, 2024 | -213.77 Mn |
| Dec 31, 2023 | -133.48 Mn |
| Sep 30, 2023 | -330.93 Mn |
| Jun 30, 2023 | 4.83 Mn |
| Mar 31, 2023 | -62.05 Mn |
| Dec 31, 2022 | -262.24 Mn |
| Sep 30, 2022 | -313.99 Mn |
| Jun 30, 2022 | -535.66 Mn |
| Mar 31, 2022 | 508.74 Mn |
| Dec 31, 2021 | -854.76 Mn |
| Sep 30, 2021 | -732.66 Mn |
API Access
Azul EBT 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=ebt&ticker=AZUXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=AZUXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();