Azul (AZUXY) Non Operating Interest Expenses (2016 - 2026)
Azul's Non Operating Interest Expenses came in at -$185.33 million for Q2 2026, compared with -$285.77 million a year earlier.
Azul (AZUXY) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Azul reported Non Operating Interest Expenses of -$2 billion; for FY2025, it was $1.84 billion, up 88.4% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 30.2% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $979.24 million in FY2024 (-12.9%), $1.12 billion in FY2023 (+20.8%), $930.24 million in FY2022 (+30.5%) and $712.77 million in FY2021 (+44.4%).
- The Q2 2026 figure represents the highest quarterly Non Operating Interest Expenses since Q1 2024.
- Business Quant data shows AZUXY's Non Operating Interest Expenses at -$941.22 million (Q1 2026), -$350.81 million (Q4 2025) and -$525.95 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
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 |
Azul Non Operating 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=non-operating-interest-expenses&ticker=AZUXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=AZUXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();