AEye (LIDR) EPS (Diluted) (2020 - 2026)
AEye (LIDR) recorded EPS (Diluted) of -$0.22 in Q2 2026, compared with -$0.48 a year earlier.
Powered by 
Analysis
AEye (LIDR) EPS (Diluted) (2020 - 2026) Analysis & Trends
On a TTM basis, AEye's EPS (Diluted) came in at -$0.78 as of Jun 30, 2026; for FY2025, it was -$1.47.
- Across earlier years, EPS (Diluted) came in at -$4.89 in FY2024, -$14.95 in FY2023, -$18.82 in FY2022 and -$17.89 in FY2021.
- The Q2 2026 figure is the highest quarterly EPS (Diluted) in data going back to Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,083.33 Bn | 4,830.82 Bn | 54.77 Bn | 2.02 |
| 2 | Cisco Systems | 414.99 Bn | 350.91 Bn | 11.06 Bn | 0.97 |
| 3 | Dell Technologies | 289.52 Bn | 245.28 Bn | 9.83 Bn | 6.34 |
| 4 | Arista Networks | 216.01 Bn | 169.46 Bn | 1.91 Bn | 0.95 |
| 5 | Sandisk | 185.32 Bn | 173.84 Bn | 7.58 Bn | 44.54 |
| 6 | Sony | 156.96 Bn | 94.22 Bn | 6.53 Bn | 0.36 |
| 7 | Seagate Technology Holdings | 141.06 Bn | 136.05 Bn | 1.90 Bn | 5.65 |
| 8 | Western Digital | 122.95 Bn | 111.08 Bn | 2.03 Bn | 8.34 |
| 9 | Hewlett Packard Enterprise | 73.46 Bn | 51.34 Bn | 4.93 Bn | 1.06 |
| 10 | AEye | 41.33 Mn | -220.18 Mn | -161,000.00 | -0.22 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.22 |
| Dec 31, 2025 | -0.32 |
| Sep 30, 2025 | -0.30 |
| Jun 30, 2025 | -0.48 |
| Mar 31, 2025 | -0.46 |
| Dec 31, 2024 | -1.18 |
| Sep 30, 2024 | -1.01 |
| Jun 30, 2024 | -1.16 |
| Mar 31, 2024 | -1.61 |
| Dec 31, 2023 | -4.77 |
| Sep 30, 2023 | -2.78 |
| Jun 30, 2023 | -2.74 |
| Mar 31, 2023 | -4.75 |
| Dec 31, 2022 | -4.53 |
| Sep 30, 2022 | -4.45 |
| Jun 30, 2022 | -5.05 |
| Mar 31, 2022 | -4.80 |
| Dec 31, 2021 | -6.89 |
| Sep 30, 2021 | -4.54 |
| Jun 30, 2021 | -3.28 |
API Access
AEye EPS (Diluted) 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=eps-diluted&ticker=LIDR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=LIDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();