Azul (AZUL) EBITDA (2016 - 2026)
Azul (AZUL) reported EBITDA of $248.39 million for Q2 2026, down 26.2% from $336.58 million a year earlier and down 60.0% from the prior quarter.
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Analysis
Azul (AZUL) EBITDA (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Azul's EBITDA came in at $2.09 billion, down 5.2% year-over-year; for FY2025, it was $1.31 billion, up 18.3% from FY2024.
- EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 75.1% (FY2020 to FY2025).
- By year, EBITDA came in at $1.11 billion in FY2024 (+36.4%), $814.69 million in FY2023 (+19.1%), $683.84 million in FY2022 (+130.3%) and $296.96 million in FY2021 (+272.2%).
- The Q2 2026 figure ranks as the lowest quarterly EBITDA since Q2 2024.
- Year over year, EBITDA gained in five of the last seven quarters, with growth averaging 11.2%.
- The high point for year-over-year EBITDA in five years was Q4 2021 (growth of 465.0%); the low point was Q4 2025 (a decline of 29.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $620.67 million (Q1 2026), $675.01 million (Q4 2025) and $544.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 3.59 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 2.71 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.98 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 1.44 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 2.68 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 1.51 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 2.13 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 2.22 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 543.07 Mn |
| 10 | Azul | 3.54 Bn | 2.57 Bn | - | 248.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.39 Mn |
| Mar 31, 2026 | 620.67 Mn |
| Dec 31, 2025 | 675.01 Mn |
| Sep 30, 2025 | 544.92 Mn |
| Jun 30, 2025 | 336.58 Mn |
| Mar 31, 2025 | 391.85 Mn |
| Dec 31, 2024 | 956.34 Mn |
| Sep 30, 2024 | 519.22 Mn |
| Jun 30, 2024 | 202.44 Mn |
| Mar 31, 2024 | -98.85 Mn |
| Dec 31, 2023 | 929.84 Mn |
| Sep 30, 2023 | 510.69 Mn |
| Jun 30, 2023 | 187.47 Mn |
| Mar 31, 2023 | 307.70 Mn |
| Dec 31, 2022 | 532.78 Mn |
| Sep 30, 2022 | 290.42 Mn |
| Jun 30, 2022 | 125.45 Mn |
| Mar 31, 2022 | 71.22 Mn |
| Dec 31, 2021 | 251.05 Mn |
| Sep 30, 2021 | 308.00 Mn |
API Access
Azul EBITDA 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=ebitda&ticker=AZUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AZUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();