Azul (AZUL) Change in Other Operating Liabilities (2017 - 2026)
Azul (AZUL) posted Change in Other Operating Liabilities of $78.04 million for Q2 2026, up 90.9% from $40.89 million a year earlier and up 337.8% from the prior quarter.
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Analysis
Azul (AZUL) Change in Other Operating Liabilities (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Other Operating Liabilities at Azul was $29.29 million, down 93.1% year-over-year; for FY2025, it was $14.77 million, down 38.4% from FY2024.
- Annual Change in Other Operating Liabilities shows a five-year compound annual growth rate of -34.8% (FY2020 to FY2025).
- In prior years, Azul's Change in Other Operating Liabilities was $23.99 million in FY2024 (+161.4%), $9.18 million in FY2023 (-94.4%), $163.35 million in FY2022 (-15.5%) and $193.34 million in FY2021 (+54.0%).
- The Q2 2026 figure stands as the highest quarterly Change in Other Operating Liabilities since Q4 2024.
- On a year-over-year basis, Change in Other Operating Liabilities increased in three of the last five quarters, with growth averaging 71.0%.
- The strongest year-over-year quarter for Change in Other Operating Liabilities in the past five years was Q2 2022, with growth of 313.4%; the weakest was Q4 2025, with a decline of 94.7%.
- According to Business Quant data, Change in Other Operating Liabilities for the three prior quarters was $17.83 million (Q1 2026), $12.97 million (Q4 2025) and -$79.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 57.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 106.00 Mn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 278.00 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | - |
| 10 | Azul | 3.54 Bn | 2.57 Bn | - | 78.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.04 Mn |
| Mar 31, 2026 | 17.83 Mn |
| Dec 31, 2025 | 12.97 Mn |
| Sep 30, 2025 | -79.54 Mn |
| Jun 30, 2025 | 40.89 Mn |
| Mar 31, 2025 | 6.34 Mn |
| Dec 31, 2024 | 242.60 Mn |
| Sep 30, 2024 | 136.48 Mn |
| Jun 30, 2024 | 114.11 Mn |
| Mar 31, 2024 | -1.01 Mn |
| Dec 31, 2023 | 8.69 Mn |
| Sep 30, 2023 | 39.94 Mn |
| Jun 30, 2023 | 80.95 Mn |
| Mar 31, 2023 | -18.04 Mn |
| Dec 31, 2022 | 150.87 Mn |
| Sep 30, 2022 | 198.67 Mn |
| Jun 30, 2022 | 179.84 Mn |
| Mar 31, 2022 | -3.02 Mn |
| Dec 31, 2021 | 91.68 Mn |
| Sep 30, 2021 | 103.50 Mn |
API Access
Azul Change in Other Operating 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=change-in-other-operating-liabilities&ticker=AZUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-liabilities&ticker=AZUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();