AEye (LIDR) Return on Sales [ROS] (2020 - 2026)
AEye (LIDR) reported Return on Sales [ROS] of -5324.26% for Q2 2026, up 34243.92 percentage points from -39568.18% a year earlier.
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Analysis
AEye (LIDR) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, AEye's Return on Sales [ROS] came in at -9618.87%, up 4087.06 percentage points year-over-year; for FY2025, it was -13618.45%, up 4118.18 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -11941.32 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -17736.63% in FY2024 (-11741.01 pp), -5995.63% in FY2023 (-3286.33 pp), -2709.30% in FY2022 (-606.37 pp) and -2102.93% in FY2021 (-425.79 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q2 2023.
- Year over year, Return on Sales [ROS] gained in five of the last seven quarters, with an average year-over-year change of +12802.51 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2025 (a gain of 43030.00 percentage points); the low point was Q1 2024 (a drop of 49584.40 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 32.62% |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 24.72% |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 11.46% |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 45.39% |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 78.49% |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 42.96% |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 41.71% |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 16.79% |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 27.76% |
| 10 | AEye | 52.07 Mn | 52.07 Mn | -161,000.00 | -5,324.26% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5,324.26% |
| Dec 31, 2025 | -8,660.82% |
| Sep 30, 2025 | -15,650.00% |
| Jun 30, 2025 | -39,568.18% |
| Mar 31, 2025 | -10,625.00% |
| Dec 31, 2024 | -19,554.35% |
| Sep 30, 2024 | -7,544.23% |
| Jun 30, 2024 | -25,800.00% |
| Mar 31, 2024 | -53,655.00% |
| Dec 31, 2023 | -41,255.07% |
| Sep 30, 2023 | -9,167.55% |
| Jun 30, 2023 | -2,834.68% |
| Mar 31, 2023 | -4,070.60% |
| Dec 31, 2022 | -2,195.88% |
| Sep 30, 2022 | -3,034.42% |
| Jun 30, 2022 | -3,772.38% |
| Mar 31, 2022 | -2,303.33% |
| Dec 31, 2021 | -1,304.66% |
| Sep 30, 2021 | -13,294.49% |
| Jun 30, 2021 | -1,619.01% |
API Access
AEye 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=LIDR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LIDR", "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=LIDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();