Audioeye (AEYE) Return on Sales [ROS] (2012 - 2026)
Audioeye's Return on Sales [ROS] came in at -5.58% for Q2 2026, down 8.04 percentage points from 2.46% a year earlier but up 12.26 percentage points from the prior quarter.
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Analysis
Audioeye (AEYE) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Audioeye reported Return on Sales [ROS] of -8.60%, down 0.86 percentage points year-over-year; for FY2025, it was -4.54%, up 5.09 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last four years, with a five-year change of +30.30 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -9.63% in FY2024 (+9.42 pp), -19.05% in FY2023 (+15.82 pp), -34.86% in FY2022 (+28.45 pp) and -63.31% in FY2021 (-28.47 pp).
- The five-year range for quarterly Return on Sales [ROS] is -77.05% (Q4 2021) to 2.46% (Q2 2025).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +0.42 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2022 (a gain of 52.18 percentage points), and the weakest in Q3 2021 (a drop of 44.39 percentage points).
- Business Quant data shows AEYE's Return on Sales [ROS] at -17.84% (Q1 2026), -7.76% (Q4 2025) and -3.11% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | Audioeye | 86.92 Mn | 59.80 Mn | 8.45 Mn | -5.58% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.58% |
| Mar 31, 2026 | -17.84% |
| Dec 31, 2025 | -7.76% |
| Sep 30, 2025 | -3.11% |
| Jun 30, 2025 | 2.46% |
| Mar 31, 2025 | -9.66% |
| Dec 31, 2024 | -13.07% |
| Sep 30, 2024 | -11.10% |
| Jun 30, 2024 | -5.87% |
| Mar 31, 2024 | -7.81% |
| Dec 31, 2023 | -6.26% |
| Sep 30, 2023 | -17.73% |
| Jun 30, 2023 | -25.88% |
| Mar 31, 2023 | -26.43% |
| Dec 31, 2022 | -24.86% |
| Sep 30, 2022 | -29.64% |
| Jun 30, 2022 | -34.46% |
| Mar 31, 2022 | -52.35% |
| Dec 31, 2021 | -77.05% |
| Sep 30, 2021 | -75.06% |
API Access
Audioeye Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=AEYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();