Accustem Sciences (ACUT) Operating Expenses (2021 - 2026)
Accustem Sciences (ACUT) recorded Operating Expenses of $350,973 in Q2 2026, down 12.6% from $401,403 a year earlier and down 27.8% from the prior quarter.
Accustem Sciences (ACUT) Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Accustem Sciences' Operating Expenses came in at $1.75 million as of Jun 30, 2026, up 13.6% year-over-year; for FY2025, it was $1.76 million, up 16.7% from FY2024.
- Annual Operating Expenses has a four-year compound annual growth rate of 27.2% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $1.51 million in FY2024 (-26.6%), $2.05 million in FY2023 (-45.3%), $3.75 million in FY2022 (+458.7%) and $670,614 in FY2021.
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 11.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 80.0% in Q4 2022, against a decline of 74.9% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $485,883 (Q1 2026), $514,388 (Q4 2025) and $399,897 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | 17.74 Bn |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | - |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 1.31 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 2.98 Bn |
| 10 | Accustem Sciences | 1.93 Mn | 1.88 Mn | - | 350,973.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 350,973.00 |
| Mar 31, 2026 | 485,883.00 |
| Dec 31, 2025 | 514,388.00 |
| Sep 30, 2025 | 399,897.00 |
| Jun 30, 2025 | 401,403.00 |
| Mar 31, 2025 | 440,408.00 |
| Dec 31, 2024 | 372,101.00 |
| Sep 30, 2024 | 328,174.00 |
| Jun 30, 2024 | 278,225.00 |
| Mar 31, 2024 | 526,602.00 |
| Dec 31, 2023 | 246,042.00 |
| Sep 30, 2023 | 598,525.00 |
| Jun 30, 2023 | 372,756.00 |
| Mar 31, 2023 | 833,341.00 |
| Dec 31, 2022 | 978,534.00 |
| Sep 30, 2022 | 899,125.00 |
| Jun 30, 2022 | 1.08 Mn |
| Mar 31, 2022 | 790,534.00 |
| Dec 31, 2021 | 543,482.00 |
| Sep 30, 2021 | 62,722.00 |
Accustem Sciences 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=ACUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ACUT", "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=ACUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();