Aclarion (ACON) Return on Sales [ROS] (2021 - 2026)
Aclarion's Return on Sales [ROS] was -11503.18% in Q2 2026, down 2514.58 percentage points from -8988.60% a year earlier but up 2626.15 percentage points from the prior quarter.
Aclarion (ACON) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aclarion's Return on Sales [ROS] was -11592.14% through Jun 30, 2026, down 1535.41 percentage points year-over-year; for FY2025, it came in at -9312.55%, up 2744.68 percentage points from FY2024.
- Return on Sales [ROS] shows a four-year change of -4414.65 percentage points (FY2021 to FY2025).
- In earlier years, Return on Sales [ROS] was -12057.23% in FY2024 (-5590.75 pp), -6466.48% in FY2023 (+2734.72 pp), -9201.19% in FY2022 (-4303.30 pp) and -4897.89% in FY2021.
- Quarterly Return on Sales [ROS] has moved between -20726.38% (Q2 2022) and -4184.99% (Q4 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -1108.06 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 12489.50 percentage points); the worst was Q2 2022 (a drop of 18280.54 percentage points).
- Per Business Quant data, ACON's Return on Sales [ROS] in the three quarters before Q2 2026 was -14129.33% (Q1 2026), -10785.18% (Q4 2025) and -9666.16% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Aclarion | 5.86 Mn | 5.86 Mn | 8,297.00 | -11,503.18% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11,503.18% |
| Mar 31, 2026 | -14,129.33% |
| Dec 31, 2025 | -10,785.18% |
| Sep 30, 2025 | -9,666.16% |
| Jun 30, 2025 | -8,988.60% |
| Mar 31, 2025 | -7,855.96% |
| Dec 31, 2024 | -17,652.66% |
| Sep 30, 2024 | -8,995.34% |
| Jun 30, 2024 | -10,350.57% |
| Mar 31, 2024 | -12,609.32% |
| Dec 31, 2023 | -8,163.67% |
| Sep 30, 2023 | -6,095.86% |
| Jun 30, 2023 | -8,236.88% |
| Mar 31, 2023 | -4,637.86% |
| Dec 31, 2022 | -4,184.99% |
| Sep 30, 2022 | -8,963.12% |
| Jun 30, 2022 | -20,726.38% |
| Mar 31, 2022 | -8,565.26% |
| Dec 31, 2021 | -8,922.25% |
| Sep 30, 2021 | -7,337.83% |
Aclarion 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=ACON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ACON", "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=ACON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();