AEye (LIDR) Operating Expenses (2020 - 2026)
AEye (LIDR) recorded Operating Expenses of $10.59 million in Q2 2026, up 22.9% from $8.62 million a year earlier.
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Analysis
AEye (LIDR) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, AEye's Operating Expenses came in at $35.24 million as of Jun 30, 2026, up 10.0% year-over-year; for FY2025, it was $31.41 million, down 10.9% from FY2024.
- Annual Operating Expenses has declined for three straight years, though with a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $35.25 million in FY2024 (-52.3%), $73.92 million in FY2023 (-21.1%), $93.72 million in FY2022 (+49.7%) and $62.61 million in FY2021 (+129.7%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q4 2023.
- On a year-over-year basis, Operating Expenses rose in three of the last seven quarters, with an average decline of 16.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 197.1% in Q3 2021, against a decline of 58.9% in Q4 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 198.00 Mn |
| 10 | AEye | 55.79 Mn | 55.79 Mn | -161,000.00 | 10.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.59 Mn |
| Dec 31, 2025 | 8.25 Mn |
| Sep 30, 2025 | 7.77 Mn |
| Jun 30, 2025 | 8.62 Mn |
| Mar 31, 2025 | 6.77 Mn |
| Dec 31, 2024 | 8.99 Mn |
| Sep 30, 2024 | 7.64 Mn |
| Jun 30, 2024 | 8.13 Mn |
| Mar 31, 2024 | 10.49 Mn |
| Dec 31, 2023 | 21.87 Mn |
| Sep 30, 2023 | 12.94 Mn |
| Jun 30, 2023 | 14.85 Mn |
| Mar 31, 2023 | 24.26 Mn |
| Dec 31, 2022 | 21.96 Mn |
| Sep 30, 2022 | 21.33 Mn |
| Jun 30, 2022 | 25.91 Mn |
| Mar 31, 2022 | 24.52 Mn |
| Dec 31, 2021 | 23.24 Mn |
| Sep 30, 2021 | 16.55 Mn |
| Jun 30, 2021 | 12.39 Mn |
API Access
AEye 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=LIDR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LIDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();