Fly-E (FLYE) EPS (Diluted) (2023 - 2026)
Fly-E's EPS (Diluted) was -$2.41 in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$6.00 a year earlier.
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Analysis
Fly-E (FLYE) EPS (Diluted) (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fly-E's EPS (Diluted) was -$6.85 through Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it was -$8.38.
- In earlier fiscal years, EPS (Diluted) was -$21.95 in FY2025, $8.61 in FY2024 (+37.5%) and $6.27 in FY2023.
- Quarterly EPS (Diluted) has moved between -$13.63 (fiscal Q4 2025) and $3.39 (fiscal Q2 2024) over five years.
- Per Business Quant data, FLYE's EPS (Diluted) in the three fiscal quarters before Q1 2027 was -$3.21 (Q4 2026), -$1.18 (Q3 2026) and -$2.18 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 0.22 |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 2.77 |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 3.73 |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 0.50 |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 3.66 |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | -0.63 |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 1.36 |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | -0.27 |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | -0.19 |
| 10 | Fly-E | 4.06 Mn | 905,374.16 | 299,864.00 | -2.41 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.41 |
| Mar 31, 2026 | -3.21 |
| Dec 31, 2025 | -1.18 |
| Sep 30, 2025 | -2.18 |
| Jun 30, 2025 | -6.00 |
| Mar 31, 2025 | -13.63 |
| Dec 31, 2024 | -2.78 |
| Sep 30, 2024 | -4.65 |
| Jun 30, 2024 | -0.79 |
| Mar 31, 2024 | 3.12 |
| Dec 31, 2023 | 0.09 |
| Sep 30, 2023 | 3.39 |
| Jun 30, 2023 | 2.00 |
API Access
Fly-E 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=FLYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "FLYE", "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=FLYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();