Fly-E (FLYE) EBITDA (2023 - 2026)
Fly-E (FLYE) posted EBITDA of -$3.35 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$1.26 million a year earlier.
Fly-E (FLYE) EBITDA (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Fly-E was -$7.69 million; for FY2026 (ended Mar 31, 2026), it came in at -$5.61 million.
- In prior fiscal years, Fly-E's EBITDA was -$3.86 million in FY2025, $3.53 million in FY2024 (+43.8%) and $2.46 million in FY2023.
- The fiscal Q1 2027 figure stands as the lowest quarterly EBITDA in data going back to fiscal Q1 2024.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was -$2.16 million (Q4 2026), -$1.36 million (Q3 2026) and -$816,511 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,255.78 Bn | 1,081.80 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Ferrari | 70.79 Bn | 63.28 Bn | 1.18 Bn | 878.33 Mn |
| 3 | General Motors | 67.85 Bn | -38.66 Bn | 7.33 Bn | 2.76 Bn |
| 4 | Ford Motor | 47.65 Bn | -94.85 Bn | 6.08 Bn | 2.50 Bn |
| 5 | Honda Motor | 45.43 Bn | -104.38 Bn | 8.46 Bn | 4.42 Bn |
| 6 | Toyota Motor | 24.52 Bn | -376.30 Bn | 20.95 Bn | 10.70 Bn |
| 7 | Magna International | 18.19 Bn | 12.22 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.75 Bn | -6.56 Bn | 179.00 Mn | -599.00 Mn |
| 9 | Stellantis | 12.30 Bn | -152.35 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Fly-E | 3.35 Mn | 195,214.41 | 299,864.00 | -3.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.35 Mn |
| Mar 31, 2026 | -2.16 Mn |
| Dec 31, 2025 | -1.36 Mn |
| Sep 30, 2025 | -816,511.00 |
| Jun 30, 2025 | -1.26 Mn |
| Mar 31, 2025 | -1.99 Mn |
| Dec 31, 2024 | -793,706.00 |
| Sep 30, 2024 | -1.14 Mn |
| Jun 30, 2024 | 50,503.00 |
| Mar 31, 2024 | 1.28 Mn |
| Dec 31, 2023 | 207,218.00 |
| Sep 30, 2023 | 1.21 Mn |
| Jun 30, 2023 | 831,212.00 |
Fly-E EBITDA 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=ebitda&ticker=FLYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FLYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();