Audioeye (AEYE) Shares Outstanding (2011 - 2026)
Audioeye (AEYE) recorded Weighted Average Shares Outstanding of 12.58 million in Q3 2026, up 1.4% from 12.41 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Audioeye (AEYE) Shares Outstanding (2011 - 2026) Analysis & Trends
For FY2025, Audioeye reported Weighted Average Shares Outstanding of 12.42 million, up 4.4% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for seven straight years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 11.89 million in FY2024 (+1.0%), 11.77 million in FY2023 (+2.5%), 11.48 million in FY2022 (+4.0%) and 11.04 million in FY2021 (+18.5%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding since Q4 2017.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for nine consecutive quarters, with growth averaging 3.0% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 18.5% in Q4 2021, against a decline of 0.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 12.49 million (Q2 2026), 12.46 million (Q1 2026) and 12.42 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 2.97 Bn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | 1.17 Bn |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 820.00 Mn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 396.50 Mn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | 1.83 Bn |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 400.15 Mn |
| 10 | Audioeye | 167.23 Mn | 135.33 Mn | 9.09 Mn | 12.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.58 Mn |
| Jun 30, 2026 | 12.49 Mn |
| Mar 31, 2026 | 12.46 Mn |
| Dec 31, 2025 | 12.42 Mn |
| Sep 30, 2025 | 12.41 Mn |
| Jun 30, 2025 | 12.45 Mn |
| Mar 31, 2025 | 12.39 Mn |
| Dec 31, 2024 | 11.89 Mn |
| Sep 30, 2024 | 11.96 Mn |
| Jun 30, 2024 | 11.70 Mn |
| Mar 31, 2024 | 11.71 Mn |
| Dec 31, 2023 | 11.77 Mn |
| Sep 30, 2023 | 11.82 Mn |
| Jun 30, 2023 | 11.74 Mn |
| Mar 31, 2023 | 11.64 Mn |
| Dec 31, 2022 | 11.48 Mn |
| Sep 30, 2022 | 11.46 Mn |
| Jun 30, 2022 | 11.49 Mn |
| Mar 31, 2022 | 11.44 Mn |
| Dec 31, 2021 | 11.04 Mn |
API Access
Audioeye Shares Outstanding 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=shares-outstanding&ticker=AEYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();