Audioeye (AEYE) Return on Capital Employed [ROCE] (2013 - 2026)
Audioeye's Return on Capital Employed [ROCE] was -18.38% in Q2 2026, down 3.66 percentage points from -14.72% a year earlier and down 3.17 percentage points from the prior quarter.
Audioeye (AEYE) Return on Capital Employed [ROCE] (2013 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Audioeye came in at -11.04%, up 10.07 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for six consecutive years, with a five-year change of +141.12 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -21.11% in FY2024 (+23.30 pp), -44.41% in FY2023 (+21.56 pp), -65.97% in FY2022 (+57.47 pp) and -123.44% in FY2021 (+28.72 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in seven of the last eight quarters, with an average year-over-year change of +17.56 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2024 (a gain of 63.31 percentage points); the worst was Q2 2022 (a drop of 47.58 percentage points).
- Per Business Quant data, AEYE's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -15.21% (Q1 2026), -10.80% (Q4 2025) and -11.26% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 9.81% |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | -68.70% |
| 10 | Audioeye | 87.17 Mn | 60.06 Mn | 8.45 Mn | -18.38% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -18.38% |
| Mar 31, 2026 | -15.21% |
| Dec 31, 2025 | -10.80% |
| Sep 30, 2025 | -11.26% |
| Jun 30, 2025 | -14.72% |
| Mar 31, 2025 | -18.82% |
| Dec 31, 2024 | -18.83% |
| Sep 30, 2024 | -21.61% |
| Jun 30, 2024 | -23.46% |
| Mar 31, 2024 | -34.65% |
| Dec 31, 2023 | -55.00% |
| Sep 30, 2023 | -83.00% |
| Jun 30, 2023 | -86.77% |
| Mar 31, 2023 | -66.26% |
| Dec 31, 2022 | -74.76% |
| Sep 30, 2022 | -88.22% |
| Jun 30, 2022 | -91.23% |
| Mar 31, 2022 | -94.78% |
| Dec 31, 2021 | -83.30% |
| Sep 30, 2021 | -60.94% |
Audioeye Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=AEYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();