Azul (AZUL) Shares Outstanding (2016 - 2026)
Azul's Weighted Average Shares Outstanding came in at 788.18 million for Q2 2026, down 15.2% from 928.97 million a year earlier and unchanged from the prior quarter.
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Analysis
Azul (AZUL) Shares Outstanding (2016 - 2026) Analysis & Trends
Going back to Q4 2016, Azul's Weighted Average Shares Outstanding data covers 39 quarters.
- Weighted Average Shares Outstanding carries a five-year compound annual growth rate of -8.9% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 928.97 million in FY2024 (-26.5%), 1.26 billion in FY2023 (unchanged), 1.26 billion in FY2022 (+0.2%) and 1.26 billion in FY2021 (+0.3%).
- The five-year range for quarterly Weighted Average Shares Outstanding is 788.18 million (Q4 2025) to 1.26 billion (Q3 2023).
- Year-over-year, Weighted Average Shares Outstanding has declined for seven consecutive quarters, with an average decline of 18.9% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in Q3 2022 (growth of 0.3%), and the weakest in Q4 2024 (a decline of 26.5%).
- Business Quant data shows AZUL's Weighted Average Shares Outstanding at 788.18 million (Q1 2026), 788.18 million (Q4 2025) and 928.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 593.70 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 851.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.85 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 886.40 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 237.00 Mn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 224.60 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 655.00 Mn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 324.90 Mn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 207.09 Mn |
| 10 | Azul | 3.54 Bn | 2.57 Bn | - | 788.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 788.18 Mn |
| Mar 31, 2026 | 788.18 Mn |
| Dec 31, 2025 | 788.18 Mn |
| Sep 30, 2025 | 928.97 Mn |
| Jun 30, 2025 | 928.97 Mn |
| Mar 31, 2025 | 928.97 Mn |
| Dec 31, 2024 | 928.97 Mn |
| Sep 30, 2024 | 1.26 Bn |
| Jun 30, 2024 | 1.26 Bn |
| Mar 31, 2024 | 1.26 Bn |
| Dec 31, 2023 | 1.26 Bn |
| Sep 30, 2023 | 1.26 Bn |
| Jun 30, 2023 | 1.26 Bn |
| Mar 31, 2023 | 1.26 Bn |
| Dec 31, 2022 | 1.26 Bn |
| Sep 30, 2022 | 1.26 Bn |
| Jun 30, 2022 | 1.26 Bn |
| Mar 31, 2022 | 1.26 Bn |
| Dec 31, 2021 | 1.26 Bn |
| Sep 30, 2021 | 1.26 Bn |
API Access
Azul Shares Outstanding 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=shares-outstanding&ticker=AZUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=AZUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();