Flyexclusive (FLYX) Shares Outstanding (Diluted) (2021 - 2026)
Flyexclusive (FLYX) recorded Shares Outstanding (Diluted) of 53.87 million in Q2 2026, up 94.0% from 27.77 million a year earlier and up 16.7% from the prior quarter.
Flyexclusive (FLYX) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Flyexclusive reported Shares Outstanding (Diluted) of 27.24 million, up 14.4% from FY2024.
- Annual Shares Outstanding (Diluted) has a four-year compound annual growth rate of 1.4% (FY2021 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 23.81 million in FY2024 (+141.6%), 9.86 million in FY2023 (-70.8%), 33.75 million in FY2022 (+30.9%) and 25.78 million in FY2021.
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for eight consecutive quarters, with growth averaging 73.0% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 146.3% 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 46.14 million (Q1 2026), 27.24 million (Q4 2025) and 27.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 594.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.86 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 887.10 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 851.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 225.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 239.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 658.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 208.72 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 532.20 Mn |
| 10 | Flyexclusive | 119.54 Mn | 140.67 Mn | 22.69 Mn | 53.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.87 Mn |
| Mar 31, 2026 | 46.14 Mn |
| Dec 31, 2025 | 27.24 Mn |
| Sep 30, 2025 | 27.77 Mn |
| Jun 30, 2025 | 27.77 Mn |
| Mar 31, 2025 | 25.16 Mn |
| Dec 31, 2024 | 23.81 Mn |
| Sep 30, 2024 | 24.28 Mn |
| Jun 30, 2024 | 19.17 Mn |
| Mar 31, 2024 | 17.31 Mn |
| Dec 31, 2023 | 9.86 Mn |
| Sep 30, 2023 | 9.86 Mn |
| Jun 30, 2023 | 19.49 Mn |
| Mar 31, 2023 | 33.75 Mn |
| Dec 31, 2022 | 33.75 Mn |
| Sep 30, 2022 | 33.75 Mn |
| Jun 30, 2022 | 22.50 Mn |
| Mar 31, 2022 | 22.50 Mn |
| Dec 31, 2021 | 25.78 Mn |
| Sep 30, 2021 | 33.75 Mn |
Flyexclusive Shares Outstanding (Diluted) 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-diluted&ticker=FLYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();