Audioeye (AEYE) EV to CFO (2023 - 2026)
Audioeye's EV to CFO was 11.55 in Q3 2026, down 80.8% from 60.15 a year earlier but up 5.3% from the prior quarter.
Audioeye (AEYE) EV to CFO (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Audioeye's EV to CFO was 8.11 through Sep 30, 2026, down 84.6% year-over-year; for FY2025, it came in at 24.71, down 62.8% from FY2024.
- In earlier years, EV to CFO was 66.35 in FY2024 (-61.1%) and 170.56 in FY2023.
- Quarterly EV to CFO has moved between 10.97 (Q2 2026) and 489.72 (Q1 2024) over five years.
- Compared with a year earlier, EV to CFO has declined for eight straight quarters, with an average decline of 69.4% over the last eight quarters.
- Over the past five years, the year-over-year decline in EV to CFO ranged from 33.1% (Q3 2025) to 89.3% (Q1 2025).
- Per Business Quant data, AEYE's EV to CFO in the three quarters before Q3 2026 was 10.97 (Q2 2026), 11.64 (Q1 2026) and 24.71 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn |
| 10 | Audioeye | 167.23 Mn | 135.33 Mn | 9.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.55 |
| Jun 30, 2026 | 10.97 |
| Mar 31, 2026 | 11.64 |
| Dec 31, 2025 | 24.71 |
| Sep 30, 2025 | 60.15 |
| Jun 30, 2025 | 41.99 |
| Mar 31, 2025 | 52.28 |
| Dec 31, 2024 | 66.35 |
| Sep 30, 2024 | 89.86 |
| Jun 30, 2024 | 180.80 |
| Mar 31, 2024 | 489.72 |
| Dec 31, 2023 | 170.56 |
Audioeye EV to CFO 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=ev-to-cfo&ticker=AEYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();