Fly-E (FLYE) Return on Sales [ROS] (2023 - 2026)
Fly-E's Return on Sales [ROS] came in at -128.68% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 100.44 percentage points from -28.24% a year earlier and down 96.24 percentage points from the prior quarter.
Fly-E (FLYE) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fly-E reported Return on Sales [ROS] of -51.38%, down 25.08 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was -33.77%, down 15.84 percentage points from FY2025.
- Return on Sales [ROS] has declined in each of the last three fiscal years, with a three-year change of -44.39 percentage points (FY2023 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -17.93% in FY2025 (-28.06 pp), 10.12% in FY2024 (-0.50 pp) and 10.62% in FY2023.
- The fiscal Q1 2027 figure represents the lowest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2024.
- Year-over-year, Return on Sales [ROS] increased in 1 of the last eight quarters, with an average year-over-year change of -34.50 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2026 (a gain of 13.95 percentage points), and the weakest in fiscal Q1 2027 (a drop of 100.44 percentage points).
- Business Quant data shows FLYE's Return on Sales [ROS] at -32.44% (Q4 2026), -58.77% (Q3 2026) and -26.82% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 2.56% |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 29.70% |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 7.19% |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 4.93% |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 8.39% |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | -40.88% |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 13.52% |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | -8.96% |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | -0.88% |
| 10 | Fly-E | 4.06 Mn | 905,374.16 | 299,864.00 | -128.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -128.68% |
| Mar 31, 2026 | -32.44% |
| Dec 31, 2025 | -58.77% |
| Sep 30, 2025 | -26.82% |
| Jun 30, 2025 | -28.24% |
| Mar 31, 2025 | -46.39% |
| Dec 31, 2024 | -16.56% |
| Sep 30, 2024 | -18.04% |
| Jun 30, 2024 | -0.58% |
| Mar 31, 2024 | 14.86% |
| Dec 31, 2023 | 2.61% |
| Sep 30, 2023 | 12.38% |
| Jun 30, 2023 | 9.79% |
Fly-E Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FLYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FLYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();