Azul (AZUL) Change in Property, Plant and Equipment (2016 - 2026)
Azul's Change in Property, Plant and Equipment was $34.85 million in Q2 2026, up 658.0% from $4.6 million a year earlier and up 177.4% from the prior quarter.
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Analysis
Azul (AZUL) Change in Property, Plant and Equipment (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Azul's Change in Property, Plant and Equipment was $197.35 million through Jun 30, 2026, down 48.9% year-over-year; for FY2025, it came in at -$34.24 million.
- In earlier years, Change in Property, Plant and Equipment was -$127.15 million in FY2024, -$93.06 million in FY2023, -$121.13 million in FY2022 and -$115.93 million in FY2021.
- Quarterly Change in Property, Plant and Equipment has moved between $4.6 million (Q2 2025) and $336.68 million (Q4 2022) over five years.
- Compared with a year earlier, Change in Property, Plant and Equipment was higher in four of the last eight quarters, with growth averaging 76.2%.
- The best year-over-year quarter for Change in Property, Plant and Equipment over five years was Q2 2026 (growth of 658.0%); the worst was Q2 2025 (a decline of 90.7%).
- Per Business Quant data, AZUL's Change in Property, Plant and Equipment in the three quarters before Q2 2026 was $12.56 million (Q1 2026), $103.8 million (Q4 2025) and $46.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | -1.02 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | -222.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | -586.00 Mn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | -422.17 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | -1.45 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | -490.00 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | -1.41 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | -2.12 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | -65.52 Mn |
| 10 | Azul | 3.54 Bn | 2.57 Bn | - | 34.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.85 Mn |
| Mar 31, 2026 | 12.56 Mn |
| Dec 31, 2025 | 103.80 Mn |
| Sep 30, 2025 | 46.14 Mn |
| Jun 30, 2025 | 4.60 Mn |
| Mar 31, 2025 | 6.48 Mn |
| Dec 31, 2024 | 216.60 Mn |
| Sep 30, 2024 | 158.53 Mn |
| Jun 30, 2024 | 49.24 Mn |
| Mar 31, 2024 | 49.73 Mn |
| Dec 31, 2023 | 162.26 Mn |
| Sep 30, 2023 | 70.47 Mn |
| Jun 30, 2023 | 34.23 Mn |
| Mar 31, 2023 | 8.01 Mn |
| Dec 31, 2022 | 336.68 Mn |
| Sep 30, 2022 | 230.64 Mn |
| Jun 30, 2022 | 55.74 Mn |
| Mar 31, 2022 | 35.24 Mn |
| Dec 31, 2021 | 111.93 Mn |
| Sep 30, 2021 | 72.21 Mn |
API Access
Azul Change in Property, Plant and Equipment 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-property-plant-and-equipment&ticker=AZUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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-property-plant-and-equipment&ticker=AZUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();