Aclarion (ACON) Operating Expenses (2021 - 2026)
Aclarion's Operating Expenses was $2.91 million in Q2 2026, up 67.0% from $1.74 million a year earlier but down 2.8% from the prior quarter.
Powered by 
Analysis
Aclarion (ACON) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aclarion's Operating Expenses was $9.73 million through Jun 30, 2026, up 54.1% year-over-year; for FY2025, it came in at $7.06 million, up 29.0% from FY2024.
- Operating Expenses shows a four-year compound annual growth rate of 24.4% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $5.47 million in FY2024 (+12.3%), $4.88 million in FY2023 (-12.3%), $5.56 million in FY2022 (+88.7%) and $2.94 million in FY2021.
- Quarterly Operating Expenses has moved between $765,394 (Q1 2022) and $2.99 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for eight straight quarters, with growth averaging 45.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 249.6%); the worst was Q2 2023 (a decline of 36.4%).
- Per Business Quant data, ACON's Operating Expenses in the three quarters before Q2 2026 was $2.99 million (Q1 2026), $1.99 million (Q4 2025) and $1.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Aclarion | 6.01 Mn | 6.01 Mn | 8,297.00 | 2.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.91 Mn |
| Mar 31, 2026 | 2.99 Mn |
| Dec 31, 2025 | 1.99 Mn |
| Sep 30, 2025 | 1.84 Mn |
| Jun 30, 2025 | 1.74 Mn |
| Mar 31, 2025 | 1.49 Mn |
| Dec 31, 2024 | 1.80 Mn |
| Sep 30, 2024 | 1.29 Mn |
| Jun 30, 2024 | 1.12 Mn |
| Mar 31, 2024 | 1.27 Mn |
| Dec 31, 2023 | 1.12 Mn |
| Sep 30, 2023 | 1.16 Mn |
| Jun 30, 2023 | 1.40 Mn |
| Mar 31, 2023 | 1.19 Mn |
| Dec 31, 2022 | 947,691.00 |
| Sep 30, 2022 | 1.63 Mn |
| Jun 30, 2022 | 2.21 Mn |
| Mar 31, 2022 | 765,394.00 |
| Dec 31, 2021 | 1.06 Mn |
| Sep 30, 2021 | 792,034.00 |
API Access
Aclarion Operating Expenses 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=operating-expenses&ticker=ACON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ACON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();