Azul (AZUL) Non-cash Items (2016 - 2026)
Azul (AZUL) reported Non-cash Items of $71.33 million for Q2 2026, down 71.5% from the prior quarter.
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Analysis
Azul (AZUL) Non-cash Items (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Azul's Non-cash Items came in at -$255.2 million; for FY2021, it was -$57.68 million.
- By year, Non-cash Items came in at $191.63 million in FY2020 (-70.9%), $659.42 million in FY2019 (-22.4%) and $850.17 million in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Azul | 3.54 Bn | 2.57 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.33 Mn |
| Mar 31, 2026 | 250.58 Mn |
| Dec 31, 2025 | -514.31 Mn |
| Mar 31, 2020 | -62.79 Mn |
| Dec 31, 2019 | 574.31 Mn |
| Sep 30, 2019 | 54.28 Mn |
| Mar 31, 2019 | -67.60 Mn |
| Dec 31, 2018 | -115.39 Mn |
| Sep 30, 2018 | -304.95 Mn |
| Jun 30, 2018 | 38.24 Mn |
| Mar 31, 2018 | -122.23 Mn |
| Dec 31, 2017 | -107.63 Mn |
| Sep 30, 2017 | 80.69 Mn |
| Jun 30, 2017 | -102.76 Mn |
| Mar 31, 2017 | -37.34 Mn |
| Dec 31, 2016 | 78.62 Mn |
| Sep 30, 2016 | -51.42 Mn |
| Jun 30, 2016 | 66.26 Mn |
| Mar 31, 2016 | 17.11 Mn |
API Access
Azul Non-cash Items 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-cash-items&ticker=AZUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "ticker": "AZUL", "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-cash-items&ticker=AZUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();