Azul (AZUL) Change in Inventory (2017 - 2026)
Azul's Change in Inventory came in at $183,925 for Q1 2026, compared with -$3.32 million a year earlier and down 99.4% from the prior quarter.
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Analysis
Azul (AZUL) Change in Inventory (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Azul reported Change in Inventory of $15.54 million, down 70.0% year-over-year; for FY2025, it was $10.94 million, down 63.2% from FY2024.
- Change in Inventory has declined in each of the last three years, though with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $29.75 million in FY2024 (-3.3%), $30.76 million in FY2023 (-0.6%), $30.95 million in FY2022 (+4.7%) and $29.55 million in FY2021 (+237.6%).
- The five-year range for quarterly Change in Inventory is -$16.49 million (Q1 2024) to $59.17 million (Q4 2024).
- The fastest year-over-year change in Change in Inventory over five years came in Q3 2022 (growth of 12.2%), and the weakest in Q2 2024 (a decline of 87.3%).
- Business Quant data shows AZUL's Change in Inventory at $30.84 million (Q4 2025), -$8.86 million (Q3 2025) and -$6.63 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 66.00 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | - |
| 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 | - | 26.00 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 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 183,924.85 |
| Dec 31, 2025 | 30.84 Mn |
| Sep 30, 2025 | -8.86 Mn |
| Jun 30, 2025 | -6.63 Mn |
| Mar 31, 2025 | -3.32 Mn |
| Dec 31, 2024 | 59.17 Mn |
| Sep 30, 2024 | -4.16 Mn |
| Jun 30, 2024 | 143,474.52 |
| Mar 31, 2024 | -16.49 Mn |
| Dec 31, 2023 | 3.94 Mn |
| Sep 30, 2023 | 4.00 Mn |
| Jun 30, 2023 | 1.13 Mn |
| Mar 31, 2023 | 2.16 Mn |
| Dec 31, 2022 | 13.00 Mn |
| Sep 30, 2022 | 7.83 Mn |
| Jun 30, 2022 | 2.44 Mn |
| Mar 31, 2022 | -5.89 Mn |
| Dec 31, 2021 | 11.65 Mn |
| Sep 30, 2021 | 6.98 Mn |
| Jun 30, 2021 | 2.56 Mn |
API Access
Azul Change in Inventory 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-inventory&ticker=AZUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=AZUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();