Flyexclusive (FLYX) EPS (Diluted) (2021 - 2026)
Flyexclusive's EPS (Diluted) was -$0.16 in Q2 2026, compared with -$0.26 a year earlier.
Analysis
Flyexclusive (FLYX) EPS (Diluted) (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Flyexclusive's EPS (Diluted) was -$0.50 through Jun 30, 2026; for FY2025, it was -$0.65.
- In earlier years, EPS (Diluted) was -$1.07 in FY2024, -$4.75 in FY2023, $0.18 in FY2022 (+115.3%) and $0.08 in FY2021.
- Quarterly EPS (Diluted) has moved between -$2.35 (Q4 2023) and $0.39 (Q2 2023) over five years.
- Per Business Quant data, FLYX's EPS (Diluted) in the three quarters before Q2 2026 was -$0.17 (Q1 2026), -$0.12 (Q4 2025) and -$0.25 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 3.36 |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - | 0.54 |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - | 0.71 |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - | 0.83 |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 3.26 |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - | 6.68 |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - | 1.15 |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - | 1.68 |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - | 2.46 |
| 10 | Flyexclusive | 60.33 Mn | -20.60 Mn | 22.69 Mn | -0.16 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.16 |
| Mar 31, 2026 | -0.17 |
| Dec 31, 2025 | -0.12 |
| Sep 30, 2025 | -0.25 |
| Jun 30, 2025 | -0.26 |
| Mar 31, 2025 | -0.30 |
| Dec 31, 2024 | -0.23 |
| Sep 30, 2024 | -0.32 |
| Jun 30, 2024 | -0.32 |
| Mar 31, 2024 | -0.35 |
| Dec 31, 2023 | -2.35 |
| Sep 30, 2023 | -2.24 |
| Jun 30, 2023 | 0.39 |
| Mar 31, 2023 | -0.27 |
| Dec 31, 2022 | 0.04 |
| Sep 30, 2022 | -0.01 |
| Jun 30, 2022 | 0.03 |
| Mar 31, 2022 | 0.19 |
| Dec 31, 2021 | -0.02 |
| Sep 30, 2021 | 0.10 |
API Access
Flyexclusive EPS (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=eps-diluted&ticker=FLYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();