Audioeye (AEYE) EPS (Diluted) (2013 - 2026)
Audioeye (AEYE) posted EPS (Diluted) of -$0.07 for Q2 2026, compared with $0.00 a year earlier.
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Analysis
Audioeye (AEYE) EPS (Diluted) (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Audioeye was -$0.37; for FY2025, it came in at -$0.25.
- In prior years, Audioeye's EPS (Diluted) was -$0.36 in FY2024, -$0.50 in FY2023, -$0.91 in FY2022 and -$1.29 in FY2021.
- Quarterly EPS (Diluted) has run from a low of -$0.45 in Q4 2021 to a high of $0.00 in Q2 2025 over five years.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was -$0.17 (Q1 2026), -$0.08 (Q4 2025) and -$0.04 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | 0.41 |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 1.56 |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | 2.16 |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | 4.29 |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | 0.29 |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | 2.43 |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn | -24.45 |
| 10 | Audioeye | 98.79 Mn | 71.67 Mn | 8.45 Mn | -0.07 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.07 |
| Mar 31, 2026 | -0.17 |
| Dec 31, 2025 | -0.08 |
| Sep 30, 2025 | -0.04 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | -0.12 |
| Dec 31, 2024 | -0.13 |
| Sep 30, 2024 | -0.10 |
| Jun 30, 2024 | -0.06 |
| Mar 31, 2024 | -0.07 |
| Dec 31, 2023 | -0.05 |
| Sep 30, 2023 | -0.11 |
| Jun 30, 2023 | -0.17 |
| Mar 31, 2023 | -0.17 |
| Dec 31, 2022 | -0.17 |
| Sep 30, 2022 | -0.20 |
| Jun 30, 2022 | -0.23 |
| Mar 31, 2022 | -0.32 |
| Dec 31, 2021 | -0.45 |
| Sep 30, 2021 | -0.41 |
API Access
Audioeye 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=AEYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();