Accustem Sciences (ACUT) Total Liabilities (2021 - 2026)
Accustem Sciences (ACUT) posted Total Liabilities of $5.72 million for Q2 2026, up 38.0% from $4.15 million a year earlier and up 5.6% from the prior quarter.
Accustem Sciences (ACUT) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Accustem Sciences' Total Liabilities came in at $4.95 million, up 47.2% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 62.9% (FY2021 to FY2025).
- In prior years, Accustem Sciences' Total Liabilities was $3.36 million in FY2024 (+49.8%), $2.25 million in FY2023 (+108.1%), $1.08 million in FY2022 (+53.6%) and $702,700 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2021.
- On a year-over-year basis, Total Liabilities has increased in each of the last 15 quarters, with growth averaging 43.4% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 36.0% (Q3 2025) and 159.8% (Q3 2023) over the last five years.
- According to Business Quant data, Total Liabilities for the three prior quarters was $5.42 million (Q1 2026), $4.95 million (Q4 2025) and $4.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | 69.89 Bn |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 836.00 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 9.12 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 9.93 Bn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 2.14 Bn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | 24.12 Bn |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 1.92 Bn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 4.05 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 18.47 Bn |
| 10 | Accustem Sciences | 1.93 Mn | 1.88 Mn | - | 5.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.72 Mn |
| Mar 31, 2026 | 5.42 Mn |
| Dec 31, 2025 | 4.95 Mn |
| Sep 30, 2025 | 4.48 Mn |
| Jun 30, 2025 | 4.15 Mn |
| Mar 31, 2025 | 3.71 Mn |
| Dec 31, 2024 | 3.36 Mn |
| Sep 30, 2024 | 3.30 Mn |
| Jun 30, 2024 | 3.02 Mn |
| Mar 31, 2024 | 2.67 Mn |
| Dec 31, 2023 | 2.25 Mn |
| Sep 30, 2023 | 2.14 Mn |
| Jun 30, 2023 | 1.77 Mn |
| Mar 31, 2023 | 1.19 Mn |
| Dec 31, 2022 | 1.08 Mn |
| Sep 30, 2022 | 824,934.00 |
| Jun 30, 2022 | 731,390.00 |
| Mar 31, 2022 | 561,109.00 |
| Dec 31, 2021 | 702,700.00 |
Accustem Sciences Total Liabilities 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=total-liabilities&ticker=ACUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ACUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();