Azul (AZUXY) Operating Expenses (2016 - 2026)
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Analysis
Azul (AZUXY) Operating Expenses (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 Bn |
| Mar 31, 2026 | 667.60 Mn |
| Dec 31, 2025 | 812.35 Mn |
| Sep 30, 2025 | 2.54 Bn |
| Jun 30, 2025 | 805.89 Mn |
| Mar 31, 2025 | 667.87 Mn |
| Dec 31, 2024 | 2.76 Bn |
| Sep 30, 2024 | 2.11 Bn |
| Jun 30, 2024 | 717.68 Mn |
| Mar 31, 2024 | 784.18 Mn |
| Dec 31, 2023 | 3.19 Bn |
| Sep 30, 2023 | 810.27 Mn |
| Jun 30, 2023 | 742.57 Mn |
| Mar 31, 2023 | 773.37 Mn |
| Dec 31, 2022 | 639.03 Mn |
| Sep 30, 2022 | 0.07 |
| Jun 30, 2022 | 773.16 Mn |
| Mar 31, 2022 | 639.64 Mn |
| Dec 31, 2021 | -169.49 Mn |
| Sep 30, 2021 | 1.29 Bn |
API Access
Azul Operating 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=operating-expenses&ticker=AZUXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AZUXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();