Azul (AZUL) Receivables - Other (2016 - 2025)
Azul's Receivables - Other was $6.86 million in Q3 2025, compared with $27,608 a year earlier and up 364.9% from the prior quarter.
Analysis
Azul (AZUL) Receivables - Other (2016 - 2025) Analysis & Trends
At the end of FY2024, Receivables - Other at Azul came in at $856,440, down 74.4% from FY2023.
- In earlier years, Receivables - Other was $3.34 million in FY2023.
- The Q3 2025 figure marks the highest quarterly Receivables - Other since Q4 2018.
- Per Business Quant data, AZUL's Receivables - Other in the three quarters before Q3 2025 was $1.48 million (Q2 2025), $2.54 million (Q1 2025) and $856,440 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 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 | - |
| 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 |
|---|---|
| Sep 30, 2025 | 6.86 Mn |
| Jun 30, 2025 | 1.48 Mn |
| Mar 31, 2025 | 2.54 Mn |
| Dec 31, 2024 | 856,439.91 |
| Sep 30, 2024 | 27,608.04 |
| Dec 31, 2023 | 3.34 Mn |
| Jun 30, 2023 | 1.03 Mn |
| Dec 31, 2019 | -4.22 Mn |
| Dec 31, 2018 | 98.53 Mn |
| Sep 30, 2018 | 3.07 Mn |
| Jun 30, 2018 | 3.03 Mn |
| Mar 31, 2018 | 3.00 Mn |
| Dec 31, 2017 | 53.45 Mn |
| Sep 30, 2017 | 2.89 Mn |
| Jun 30, 2017 | 7.87 Mn |
| Mar 31, 2017 | 3.75 Mn |
| Dec 31, 2016 | 2.83 Mn |
| Sep 30, 2016 | 2.79 Mn |
| Jun 30, 2016 | 10.07 Mn |
API Access
Azul Receivables - Other 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=receivables-other&ticker=AZUL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=AZUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();