Azul (AZUL) Tax Provisions (2016 - 2026)
Azul (AZUL) recorded Tax Provisions of -$361,010 in Q1 2026.
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Analysis
Azul (AZUL) Tax Provisions (2016 - 2026) Analysis & Trends
For FY2019, Azul reported Tax Provisions of -$566,243.
- Across earlier years, Tax Provisions came in at -$3.1 million in FY2018, $901,940 in FY2017 (-64.2%), $2.52 million in FY2016 and -$428,229 in FY2015.
- The Q1 2026 figure is the highest quarterly Tax Provisions since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 650.00 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 408.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 332.00 Mn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 320.02 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 510.00 Mn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 228.00 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 318.00 Mn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 282.00 Mn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 111.28 Mn |
| 10 | Azul | 3.54 Bn | 2.57 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -361,009.52 |
| Dec 31, 2024 | -120,450.10 |
| Sep 30, 2024 | -180,337.78 |
| Jun 30, 2024 | -57,697.53 |
| Dec 31, 2020 | 963,169.28 |
| Sep 30, 2020 | -967,964.82 |
| Jun 30, 2020 | 1.05 Mn |
| Mar 31, 2020 | -2.95 Mn |
| Dec 31, 2019 | -72,912.23 |
| Sep 30, 2019 | -50,516.76 |
| Jun 30, 2019 | -331,895.49 |
| Mar 31, 2019 | -106,336.01 |
| Dec 31, 2018 | -2.94 Mn |
| Sep 30, 2018 | -634,673.15 |
| Jun 30, 2018 | 83,668.36 |
| Mar 31, 2018 | -400,753.38 |
| Dec 31, 2017 | -1.11 Mn |
| Sep 30, 2017 | 2.06 Mn |
| Jun 30, 2017 | -62,392.24 |
| Mar 31, 2017 | 2.70 Mn |
API Access
Azul Tax Provisions 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=tax-provisions&ticker=AZUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AZUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();