Azul (AZUL) Total Non-Current Liabilities (2016 - 2025)
Azul (AZUL) reported Total Non-Current Liabilities of $4.3 billion for Q4 2025, down 29.3% from $6.09 billion a year earlier.
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Analysis
Azul (AZUL) Total Non-Current Liabilities (2016 - 2025) Analysis & Trends
Dating back to Q4 2016, Azul's Total Non-Current Liabilities record includes 11 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $6.09 billion in FY2024 (+11.1%), $5.48 billion in FY2023 (+27.1%), $4.31 billion in FY2022 (-4.4%) and $4.51 billion in FY2021 (+23.4%).
- The Q4 2025 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.29 Bn | 165.82 Bn | - | 48.79 Bn |
| 2 | Csx | 90.34 Bn | 86.55 Bn | - | 30.11 Bn |
| 3 | United Parcel Service | 83.18 Bn | 60.07 Bn | - | 52.41 Bn |
| 4 | Canadian Pacific Kansas City | 77.13 Bn | 76.15 Bn | - | 28.69 Bn |
| 5 | Norfolk Southern | 72.86 Bn | 67.50 Bn | - | 27.16 Bn |
| 6 | Fedex | 70.02 Bn | 35.97 Bn | - | 62.04 Bn |
| 7 | Delta Air Lines | 51.16 Bn | 33.34 Bn | - | 29.96 Bn |
| 8 | Old Dominion Freight Line | 39.22 Bn | 38.48 Bn | - | 656.79 Mn |
| 9 | United Airlines Holdings | 32.92 Bn | -23.46 Bn | - | 40.11 Bn |
| 10 | Azul | 5.29 Bn | 4.39 Bn | - | 4.24 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.24 Bn |
| Dec 31, 2024 | 5.72 Bn |
| Dec 31, 2023 | 5.59 Bn |
| Dec 31, 2022 | 4.29 Bn |
| Dec 31, 2021 | 4.52 Bn |
| Dec 31, 2020 | 3.80 Bn |
| Dec 31, 2019 | 3.95 Bn |
| Dec 31, 2018 | 3.09 Bn |
| Mar 31, 2018 | 1.23 Bn |
| Dec 31, 2017 | 3.08 Bn |
| Dec 31, 2016 | 1.16 Bn |
API Access
Azul Total Non-Current 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-non-current-liabilities&ticker=AZUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AZUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();