Fly-E (FLYE) Operating Expenses (2023 - 2026)
Fly-E's Operating Expenses was $3.84 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.9% from $3.77 million a year earlier and up 42.0% from the prior quarter.
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Analysis
Fly-E (FLYE) Operating Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fly-E's Operating Expenses was $11.17 million through Jun 30, 2026, down 28.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $11.1 million, down 26.1% from FY2025.
- Operating Expenses shows a three-year compound annual growth rate of 22.9% (FY2023 to FY2026).
- In earlier fiscal years, Operating Expenses was $15.01 million in FY2025 (+52.5%), $9.85 million in FY2024 (+64.7%) and $5.98 million in FY2023.
- The fiscal Q1 2027 figure marks the highest quarterly Operating Expenses since fiscal Q4 2025.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 7.9%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2025 (growth of 73.6%); the worst was fiscal Q2 2026 (a decline of 51.0%).
- Per Business Quant data, FLYE's Operating Expenses in the three fiscal quarters before Q1 2027 was $2.7 million (Q4 2026), $2.61 million (Q3 2026) and $2.02 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Fly-E | 2.33 Mn | -824,955.11 | 299,864.00 | 3.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.84 Mn |
| Mar 31, 2026 | 2.70 Mn |
| Dec 31, 2025 | 2.61 Mn |
| Sep 30, 2025 | 2.02 Mn |
| Jun 30, 2025 | 3.77 Mn |
| Mar 31, 2025 | 4.23 Mn |
| Dec 31, 2024 | 3.50 Mn |
| Sep 30, 2024 | 4.14 Mn |
| Jun 30, 2024 | 3.15 Mn |
| Mar 31, 2024 | 2.44 Mn |
| Dec 31, 2023 | 2.78 Mn |
| Sep 30, 2023 | 2.68 Mn |
| Jun 30, 2023 | 1.96 Mn |
API Access
Fly-E Operating Expenses 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=operating-expenses&ticker=FLYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FLYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();