Audioeye (AEYE) Research & Development (2014 - 2026)
Audioeye's Research & Development was $849,000 in Q2 2026, down 29.3% from $1.2 million a year earlier and down 23.5% from the prior quarter.
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Analysis
Audioeye (AEYE) Research & Development (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Audioeye's Research & Development was $4.2 million through Jun 30, 2026, down 14.1% year-over-year; for FY2025, it was $4.59 million, down 9.6% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- In earlier years, Research & Development was $5.08 million in FY2024 (-27.4%), $6.99 million in FY2023 (+14.9%), $6.09 million in FY2022 (+14.7%) and $5.3 million in FY2021 (+331.2%).
- The Q2 2026 figure marks the lowest quarterly Research & Development since Q4 2020.
- Compared with a year earlier, Research & Development has declined for six straight quarters, with an average decline of 12.5% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q3 2021 (growth of 693.6%); the worst was Q3 2024 (a decline of 41.1%).
- Per Business Quant data, AEYE's Research & Development in the three quarters before Q2 2026 was $1.11 million (Q1 2026), $1.12 million (Q4 2025) and $1.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 2.40 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | - |
| 10 | Audioeye | 101.29 Mn | 74.17 Mn | 8.45 Mn | 849,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 849,000.00 |
| Mar 31, 2026 | 1.11 Mn |
| Dec 31, 2025 | 1.12 Mn |
| Sep 30, 2025 | 1.12 Mn |
| Jun 30, 2025 | 1.20 Mn |
| Mar 31, 2025 | 1.15 Mn |
| Dec 31, 2024 | 1.38 Mn |
| Sep 30, 2024 | 1.15 Mn |
| Jun 30, 2024 | 1.22 Mn |
| Mar 31, 2024 | 1.32 Mn |
| Dec 31, 2023 | 1.26 Mn |
| Sep 30, 2023 | 1.96 Mn |
| Jun 30, 2023 | 2.03 Mn |
| Mar 31, 2023 | 1.75 Mn |
| Dec 31, 2022 | 1.61 Mn |
| Sep 30, 2022 | 1.54 Mn |
| Jun 30, 2022 | 1.41 Mn |
| Mar 31, 2022 | 1.53 Mn |
| Dec 31, 2021 | 1.35 Mn |
| Sep 30, 2021 | 1.61 Mn |
API Access
Audioeye Research & Development 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=research-and-development&ticker=AEYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();