Audioeye (AEYE) Other Accumulated Expenses (2011 - 2026)
Audioeye (AEYE) posted Other Accumulated Expenses of $13,000 for Q1 2025.
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Analysis
Audioeye (AEYE) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2013, Audioeye's Other Accumulated Expenses came in at $243,424.
- The Q1 2025 figure stands as the highest quarterly Other Accumulated Expenses since Q2 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn |
| 10 | Audioeye | 173.28 Mn | 141.39 Mn | 9.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41,000.00 |
| Jun 30, 2026 | 37,000.00 |
| Mar 31, 2026 | 45,000.00 |
| Dec 31, 2025 | 97,000.00 |
| Sep 30, 2025 | 81,000.00 |
| Jun 30, 2025 | 96,000.00 |
| Mar 31, 2025 | 13,000.00 |
| Dec 31, 2024 | 109,000.00 |
| Sep 30, 2024 | 128,000.00 |
| Jun 30, 2024 | 123,000.00 |
| Mar 31, 2024 | 107,000.00 |
| Dec 31, 2023 | 106,000.00 |
| Sep 30, 2023 | 104,000.00 |
| Jun 30, 2023 | 102,000.00 |
| Mar 31, 2023 | 100,000.00 |
| Dec 31, 2022 | 105,000.00 |
| Sep 30, 2022 | 93,000.00 |
| Jun 30, 2022 | 93,000.00 |
| Mar 31, 2022 | 95,000.00 |
| Dec 31, 2021 | 95,000.00 |
API Access
Audioeye Other Accumulated 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=other-accumulated-expenses&ticker=AEYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();