Fly-E (FLYE) Net Cash Flow (2023 - 2026)
Fly-E's Net Cash Flow was -$204,955 in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with $1.48 million a year earlier.
Fly-E (FLYE) Net Cash Flow (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fly-E's Net Cash Flow was -$2.33 million through Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it came in at -$650,226.
- In earlier fiscal years, Net Cash Flow was -$474,634 in FY2025, $1.06 million in FY2024 and -$36,140 in FY2023.
- Quarterly Net Cash Flow has moved between -$3.2 million (fiscal Q2 2025) and $3.07 million (fiscal Q1 2025) over five years.
- Per Business Quant data, FLYE's Net Cash Flow in the three fiscal quarters before Q1 2027 was -$64,087 (Q4 2026), -$2.23 million (Q3 2026) and $164,501 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | 2.61 Bn |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | 3.39 Bn |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | - |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | 3.69 Bn |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | - |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | -81.00 Mn |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | - |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | - |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | - |
| 10 | Fly-E | 3.84 Mn | 684,919.64 | 299,864.00 | -204,955.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -204,955.00 |
| Mar 31, 2026 | -64,087.00 |
| Dec 31, 2025 | -2.23 Mn |
| Sep 30, 2025 | 164,501.00 |
| Jun 30, 2025 | 1.48 Mn |
| Mar 31, 2025 | -457,910.00 |
| Dec 31, 2024 | 114,829.00 |
| Sep 30, 2024 | -3.20 Mn |
| Jun 30, 2024 | 3.07 Mn |
| Mar 31, 2024 | 247,216.00 |
| Dec 31, 2023 | 60,698.00 |
| Sep 30, 2023 | 428,948.00 |
| Jun 30, 2023 | 321,587.00 |
Fly-E Net Cash Flow 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=net-cash-flow&ticker=FLYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=FLYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();