BingEx (FLX) EPS (Diluted) (2023 - 2026)
BingEx's EPS (Diluted) was -$0.07 in the quarter ended Jun 30, 2026, compared with $0.22 a year earlier.
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Analysis
BingEx (FLX) EPS (Diluted) (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, BingEx's EPS (Diluted) was -$0.03 through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $0.23.
- In earlier years, EPS (Diluted) was -$1.05 in the year ended Dec 31, 2024, -$0.21 in the year ended Dec 31, 2023 and -$0.25 in the year ended Dec 31, 2022.
- Quarterly EPS (Diluted) has moved between -$1.18 (the quarter ended Dec 31, 2024) and $0.59 (the quarter ended Mar 31, 2024) over five years.
- Per Business Quant data, FLX's EPS (Diluted) in the three quarters before the quarter ended Jun 30, 2026 was -$0.09 (quarter ended Mar 31, 2026), $0.05 (quarter ended Dec 31, 2025) and $0.18 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 3.36 |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 0.54 |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 0.71 |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 0.83 |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 3.26 |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 6.68 |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 1.15 |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.68 |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 2.46 |
| 10 | BingEx | 103.91 Mn | -280.59 Mn | 14.08 Mn | -0.07 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.07 |
| Mar 31, 2026 | -0.09 |
| Dec 31, 2025 | 0.05 |
| Sep 30, 2025 | 0.18 |
| Jun 30, 2025 | 0.22 |
| Mar 31, 2025 | -0.04 |
| Dec 31, 2024 | -1.18 |
| Sep 30, 2024 | 0.36 |
| Jun 30, 2024 | 0.55 |
| Mar 31, 2024 | 0.59 |
| Dec 31, 2023 | 0.41 |
| Sep 30, 2023 | 0.42 |
API Access
BingEx 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=FLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "FLX", "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=FLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();