Audioeye (AEYE) Return on Sales [ROS] (2012 - 2026)
Audioeye's Return on Sales [ROS] came in at 11.45% for Q3 2026, up 14.56 percentage points from -3.11% a year earlier and up 17.03 percentage points from the prior quarter.
Powered by 
Analysis
Audioeye (AEYE) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Audioeye reported Return on Sales [ROS] of -4.77%, up 1.01 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 Q3 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q1 2012.
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +1.41 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 Q4 2021 (a drop of 23.33 percentage points).
- Business Quant data shows AEYE's Return on Sales [ROS] at -5.58% (Q2 2026), -17.84% (Q1 2026) and -7.76% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 34.78% |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 16,670.89% |
| 10 | Audioeye | 173.28 Mn | 141.39 Mn | 9.09 Mn | 11.45% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.45% |
| 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% |
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();