Azul (AZUXY) Other Operating Expenses (2016 - 2026)
Azul (AZUXY) recorded Other Operating Expenses of $1.39 billion in Q2 2026, compared with $19.54 million a year earlier and up 47.9% from the prior quarter.
Azul (AZUXY) Other Operating Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Azul's Other Operating Expenses came in at $5.16 billion as of Jun 30, 2026, up 43.6% year-over-year; for FY2025, it came in at $3.26 billion.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 25.1% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at -$751.9 million in FY2024, -$721.33 million in FY2023, $3.3 billion in FY2022 (+80.0%) and $1.84 billion in FY2021 (+72.6%).
- Quarterly Other Operating Expenses has ranged from -$1.39 billion in Q4 2022 to $2.37 billion in Q4 2023 over the past five years.
- On a year-over-year basis, Other Operating Expenses rose in three of the last six quarters, with growth averaging 109.3%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 696.0% in Q1 2026, against a decline of 90.9% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $937.89 million (Q1 2026), $1.09 billion (Q4 2025) and $1.75 billion (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Bn |
| Mar 31, 2026 | -0.01 |
| Dec 31, 2025 | -533.19 Mn |
| Sep 30, 2025 | 2.45 Bn |
| Jun 30, 2025 | 750.19 Mn |
| Mar 31, 2025 | -0.01 |
| Dec 31, 2024 | -0.01 |
| Sep 30, 2024 | 2.08 Bn |
| Jun 30, 2024 | 689.36 Mn |
| Mar 31, 2024 | -0.01 |
| Dec 31, 2023 | -566.00 Mn |
| Sep 30, 2023 | 0.01 |
| Jun 30, 2023 | 719.51 Mn |
| Mar 31, 2023 | -0.01 |
| Dec 31, 2022 | 0.01 |
| Sep 30, 2022 | 0.00 |
| Jun 30, 2022 | 93.86 Mn |
| Mar 31, 2022 | 0.01 |
| Dec 31, 2021 | 0.01 |
| Sep 30, 2021 | 0.01 |
Azul Other 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=other-operating-expenses&ticker=AZUXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=AZUXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();