Flyexclusive (FLYX) Shares Outstanding (Entity) (2021 - 2026)
Flyexclusive (FLYX) recorded Shares Outstanding (Entity) of 96.4 million in Q2 2026, up 20.3% from 80.13 million a year earlier and up 1.3% from the prior quarter.
Flyexclusive (FLYX) Shares Outstanding (Entity) (2021 - 2026) Analysis & Trends
For FY2025, Flyexclusive reported Shares Outstanding (Entity) of 91.11 million, up 16.6% from FY2024.
- Annual Shares Outstanding (Entity) has a four-year compound annual growth rate of 28.2% (FY2021 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 78.13 million in FY2024, 33.75 million in FY2022 (unchanged) and 33.75 million in FY2021.
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Entity) in data going back to Q1 2021.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for six consecutive quarters, with growth averaging 108.1% over the last seven quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 692.7% in Q3 2024, against a decline of 70.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 95.12 million (Q1 2026), 91.11 million (Q4 2025) and 80.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.01 Bn | 168.25 Bn | - | 594.22 Mn |
| 2 | Csx | 93.62 Bn | 88.85 Bn | - | 1.84 Bn |
| 3 | United Parcel Service | 92.85 Bn | 69.67 Bn | - | 751.66 Mn |
| 4 | Canadian Pacific Kansas City | 82.31 Bn | 81.35 Bn | - | 869.55 Mn |
| 5 | Fedex | 74.59 Bn | 40.78 Bn | - | 236.58 Mn |
| 6 | Norfolk Southern | 72.94 Bn | 67.40 Bn | - | 224.62 Mn |
| 7 | Delta Air Lines | 59.87 Bn | 42.05 Bn | - | 657.91 Mn |
| 8 | United Airlines Holdings | 39.08 Bn | -18.61 Bn | - | 324.89 Mn |
| 9 | Old Dominion Freight Line | 34.91 Bn | 33.76 Bn | - | 206.64 Mn |
| 10 | Flyexclusive | 62.36 Mn | -18.58 Mn | 22.69 Mn | 96.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.40 Mn |
| Mar 31, 2026 | 95.12 Mn |
| Dec 31, 2025 | 91.11 Mn |
| Sep 30, 2025 | 80.13 Mn |
| Jun 30, 2025 | 80.13 Mn |
| Mar 31, 2025 | 80.13 Mn |
| Dec 31, 2024 | 78.13 Mn |
| Sep 30, 2024 | 78.13 Mn |
| Jun 30, 2024 | 77.83 Mn |
| Mar 31, 2024 | 77.82 Mn |
| Sep 30, 2023 | 9.86 Mn |
| Jun 30, 2023 | 19.49 Mn |
| Mar 31, 2023 | 28.13 Mn |
| Dec 31, 2022 | 28.13 Mn |
| Sep 30, 2022 | 28.13 Mn |
| Jun 30, 2022 | 33.75 Mn |
| Mar 31, 2022 | 28.13 Mn |
| Dec 31, 2021 | 28.13 Mn |
| Sep 30, 2021 | 28.13 Mn |
| Jun 30, 2021 | 16.87 Mn |
Flyexclusive Shares Outstanding (Entity) 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-entity&ticker=FLYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "FLYX", "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-entity&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();