Audioeye (AEYE) Operating Expenses (2012 - 2026)
Audioeye's Operating Expenses came in at $7.84 million for Q3 2026, down 4.8% from $8.23 million a year earlier and down 13.4% from the prior quarter.
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Analysis
Audioeye (AEYE) Operating Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Audioeye reported Operating Expenses of $36.12 million, up 8.2% year-over-year; for FY2025, it came in at $33.39 million, up 6.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $31.33 million in FY2024 (+3.4%), $30.31 million in FY2023 (-8.5%), $33.12 million in FY2022 (-2.3%) and $33.9 million in FY2021 (+56.6%).
- The Q3 2026 figure represents the lowest quarterly Operating Expenses since Q2 2025.
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 12.5%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 37.9%), and the weakest in Q4 2022 (a decline of 19.3%).
- Business Quant data shows AEYE's Operating Expenses at $9.05 million (Q2 2026), $10.14 million (Q1 2026) and $9.1 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 845.28 Mn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 12.62 Bn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 6.37 Bn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 4.18 Bn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 2.51 Bn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | -20.82 Bn |
| 10 | Audioeye | 167.23 Mn | 135.33 Mn | 9.09 Mn | 7.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.84 Mn |
| Jun 30, 2026 | 9.05 Mn |
| Mar 31, 2026 | 10.14 Mn |
| Dec 31, 2025 | 9.10 Mn |
| Sep 30, 2025 | 8.23 Mn |
| Jun 30, 2025 | 7.38 Mn |
| Mar 31, 2025 | 8.68 Mn |
| Dec 31, 2024 | 9.08 Mn |
| Sep 30, 2024 | 8.09 Mn |
| Jun 30, 2024 | 7.20 Mn |
| Mar 31, 2024 | 6.95 Mn |
| Dec 31, 2023 | 6.67 Mn |
| Sep 30, 2023 | 7.44 Mn |
| Jun 30, 2023 | 8.08 Mn |
| Mar 31, 2023 | 8.12 Mn |
| Dec 31, 2022 | 7.92 Mn |
| Sep 30, 2022 | 8.06 Mn |
| Jun 30, 2022 | 8.34 Mn |
| Mar 31, 2022 | 8.81 Mn |
| Dec 31, 2021 | 9.81 Mn |
API Access
Audioeye 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=AEYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AEYE", "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=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();