Azul (AZUXY) Interest Expenses (2016 - 2026)
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Analysis
Azul (AZUXY) Interest Expenses (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -185.33 Mn |
| Mar 31, 2026 | -941.22 Mn |
| Dec 31, 2025 | -350.81 Mn |
| Sep 30, 2025 | -525.95 Mn |
| Jun 30, 2025 | -285.77 Mn |
| Mar 31, 2025 | -477.66 Mn |
| Dec 31, 2024 | -805.16 Mn |
| Sep 30, 2024 | -238.17 Mn |
| Jun 30, 2024 | -256.62 Mn |
| Mar 31, 2024 | 247.51 Mn |
| Dec 31, 2023 | -1.08 Bn |
| Sep 30, 2023 | -386.05 Mn |
| Jun 30, 2023 | -241.92 Mn |
| Mar 31, 2023 | -230.26 Mn |
| Dec 31, 2022 | -866.44 Mn |
| Sep 30, 2022 | -631.77 Mn |
| Jun 30, 2022 | -229.74 Mn |
| Mar 31, 2022 | -195.96 Mn |
| Dec 31, 2021 | -652.30 Mn |
| Sep 30, 2021 | -502.65 Mn |
API Access
Azul Interest 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=interest-expenses&ticker=AZUXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=AZUXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();