Accustem Sciences (ACUT) Total Non-Current Liabilities (2022 - 2026)
Accustem Sciences (ACUT) posted Total Non-Current Liabilities of $5.51 million for Q2 2026, up 39.3% from $3.95 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Accustem Sciences (ACUT) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Accustem Sciences' Total Non-Current Liabilities came in at $4.75 million, up 48.8% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 71.8% (FY2022 to FY2025).
- In prior years, Accustem Sciences' Total Non-Current Liabilities was $3.19 million in FY2024 (+64.9%), $1.94 million in FY2023 (+106.7%) and $937,010 in FY2022.
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last eight quarters, with growth averaging 142.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2025, with growth of 325.5%; the weakest was Q1 2024, with a decline of 15.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $5.21 million (Q1 2026), $4.75 million (Q4 2025) and $4.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | - |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 715.49 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 8.06 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 9.21 Bn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 2.01 Bn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | 22.34 Bn |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 1.86 Bn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 3.84 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 18.38 Bn |
| 10 | Accustem Sciences | 1.93 Mn | 1.88 Mn | - | 5.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.51 Mn |
| Mar 31, 2026 | 5.21 Mn |
| Dec 31, 2025 | 4.75 Mn |
| Sep 30, 2025 | 4.31 Mn |
| Jun 30, 2025 | 3.95 Mn |
| Mar 31, 2025 | 3.54 Mn |
| Dec 31, 2024 | 3.19 Mn |
| Sep 30, 2024 | 1.01 Mn |
| Jun 30, 2024 | 980,808.00 |
| Mar 31, 2024 | 869,047.00 |
| Dec 31, 2023 | 1.94 Mn |
| Sep 30, 2023 | 1.01 Mn |
| Jun 30, 2023 | 1.05 Mn |
| Mar 31, 2023 | 1.03 Mn |
| Dec 31, 2022 | 937,010.00 |
API Access
Accustem Sciences Total Non-Current 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-non-current-liabilities&ticker=ACUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ACUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();