Azul (AZUL) Total Liabilities (2014 - 2026)
Azul (AZUL) reported Total Liabilities of $6.94 billion for Q2 2026, down 28.2% from $9.66 billion a year earlier but up 4.5% from the prior quarter.
Powered by 
Analysis
Azul (AZUL) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Azul posted Total Liabilities of $9.62 billion, up 4.8% from FY2024.
- Total Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $9.18 billion in FY2024 (+6.4%), $8.63 billion in FY2023 (+20.9%), $7.14 billion in FY2022 (+7.9%) and $6.62 billion in FY2021 (+14.7%).
- Five-year quarterly Total Liabilities spans a low of -$527.23 million in Q2 2023 and a high of $10.34 billion in Q3 2025.
- Year over year, Total Liabilities gained in six of the last eight quarters, with an average decline of 0.4%.
- The high point for year-over-year Total Liabilities in five years was Q3 2021 (growth of 33.7%); the low point was Q1 2026 (a decline of 29.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.64 billion (Q1 2026), $9.62 billion (Q4 2025) and $10.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 50.59 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 57.69 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 30.82 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 30.08 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 67.29 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 29.22 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 63.54 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 67.37 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 1.22 Bn |
| 10 | Azul | 3.54 Bn | 2.57 Bn | - | 6.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.94 Bn |
| Mar 31, 2026 | 6.64 Bn |
| Dec 31, 2025 | 9.62 Bn |
| Sep 30, 2025 | 10.34 Bn |
| Jun 30, 2025 | 9.66 Bn |
| Mar 31, 2025 | 9.38 Bn |
| Dec 31, 2024 | 9.18 Bn |
| Sep 30, 2024 | 9.10 Bn |
| Jun 30, 2024 | 8.91 Bn |
| Mar 31, 2024 | 8.63 Bn |
| Dec 31, 2023 | 8.63 Bn |
| Sep 30, 2023 | 8.12 Bn |
| Jun 30, 2023 | -527.23 Mn |
| Mar 31, 2023 | 7.29 Bn |
| Dec 31, 2022 | 7.14 Bn |
| Sep 30, 2022 | 7.13 Bn |
| Jun 30, 2022 | 7.07 Bn |
| Mar 31, 2022 | 7.01 Bn |
| Dec 31, 2021 | 6.62 Bn |
| Sep 30, 2021 | 6.60 Bn |
API Access
Azul Total Liabilities 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=total-liabilities&ticker=AZUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AZUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();