Audioeye (AEYE) EV to CFO (2023 - 2026)
Audioeye's EV to CFO was 10.97 in Q2 2026, down 73.9% from 41.99 a year earlier and down 5.8% 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 7.83 through Jun 30, 2026, down 78.3% 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.
- The Q2 2026 figure marks the lowest quarterly EV to CFO in data going back to Q4 2023.
- Compared with a year earlier, EV to CFO has declined for seven straight quarters, with an average decline of 67.8% over the last seven quarters.
- Per Business Quant data, AEYE's EV to CFO in the three quarters before Q2 2026 was 11.64 (Q1 2026), 24.71 (Q4 2025) and 60.15 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Audioeye | 85.16 Mn | 58.05 Mn | 8.45 Mn |
Historic Data
| Date | Value |
|---|---|
| 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();