Azul (AZUL) Total Current Liabilities (2016 - 2026)
Azul (AZUL) posted Total Current Liabilities of $2.87 billion for Q2 2026, down 26.3% from $3.9 billion a year earlier but up 4.5% from the prior quarter.
Azul (AZUL) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Azul's Total Current Liabilities came in at $5.38 billion, up 55.8% from FY2024.
- Annual Total Current Liabilities has increased for nine consecutive years, with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- In prior years, Azul's Total Current Liabilities was $3.45 billion in FY2024 (+13.6%), $3.04 billion in FY2023 (+6.7%), $2.85 billion in FY2022 (+35.5%) and $2.1 billion in FY2021 (+6.9%).
- Quarterly Total Current Liabilities has run from a low of $3.46 million in Q2 2023 to a high of $5.38 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 7.0%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2025, with growth of 55.8%; the weakest was Q2 2023, with a decline of 99.9%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $2.75 billion (Q1 2026), $5.38 billion (Q4 2025) and $2.44 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 5.61 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 15.58 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 4.31 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 4.76 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 18.91 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 3.68 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 33.58 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 26.64 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 583.00 Mn |
| 10 | Azul | 3.54 Bn | 2.57 Bn | - | 2.87 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.87 Bn |
| Mar 31, 2026 | 2.75 Bn |
| Dec 31, 2025 | 5.38 Bn |
| Sep 30, 2025 | 2.44 Bn |
| Jun 30, 2025 | 3.90 Bn |
| Mar 31, 2025 | 2.96 Bn |
| Dec 31, 2024 | 3.45 Bn |
| Sep 30, 2024 | 3.41 Bn |
| Jun 30, 2024 | 3.16 Bn |
| Mar 31, 2024 | 2.87 Bn |
| Dec 31, 2023 | 3.04 Bn |
| Sep 30, 2023 | 2.79 Bn |
| Jun 30, 2023 | 3.46 Mn |
| Mar 31, 2023 | 3.12 Bn |
| Dec 31, 2022 | 2.85 Bn |
| Sep 30, 2022 | 2.75 Bn |
| Jun 30, 2022 | 2.62 Bn |
| Mar 31, 2022 | 2.47 Bn |
| Dec 31, 2021 | 2.10 Bn |
| Sep 30, 2021 | 2.11 Bn |
Azul Total 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-current-liabilities&ticker=AZUL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=AZUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();