Azul (AZUXY) Capital Expenditures (2016 - 2026)
Analysis
Azul (AZUXY) Capital Expenditures (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -34.85 Mn |
| Mar 31, 2026 | -12.56 Mn |
| Dec 31, 2025 | -103.80 Mn |
| Sep 30, 2025 | -44.80 Mn |
| Jun 30, 2025 | -4.59 Mn |
| Mar 31, 2025 | -5.24 Mn |
| Dec 31, 2024 | -216.60 Mn |
| Sep 30, 2024 | -158.53 Mn |
| Jun 30, 2024 | -49.24 Mn |
| Mar 31, 2024 | -49.73 Mn |
| Dec 31, 2023 | -162.26 Mn |
| Sep 30, 2023 | -70.47 Mn |
| Jun 30, 2023 | -34.23 Mn |
| Mar 31, 2023 | -8.01 Mn |
| Dec 31, 2022 | -238.08 Mn |
| Sep 30, 2022 | -170.01 Mn |
| Jun 30, 2022 | -55.74 Mn |
| Mar 31, 2022 | -35.24 Mn |
| Dec 31, 2021 | -111.93 Mn |
| Sep 30, 2021 | -72.21 Mn |
API Access
Azul Capital Expenditures 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=capital-expenditures&ticker=AZUXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AZUXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();