Alpha Tau Medical (DRTS) Total Current Liabilities (2020 - 2026)
Alpha Tau Medical (DRTS) posted Total Current Liabilities of $9.63 million for Q2 2026, up 18.1% from $8.16 million a year earlier but down 7.8% from the prior quarter.
Alpha Tau Medical (DRTS) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Alpha Tau Medical's Total Current Liabilities came in at $10.51 million, up 21.1% from FY2024.
- Annual Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 38.1% (FY2020 to FY2025).
- In prior years, Alpha Tau Medical's Total Current Liabilities was $8.68 million in FY2024 (+22.1%), $7.1 million in FY2023 (+63.7%), $4.34 million in FY2022 (-1.5%) and $4.41 million in FY2021 (+111.0%).
- Quarterly Total Current Liabilities has run from a low of $2.76 million in Q2 2022 to a high of $10.51 million in Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 13 quarters, with growth averaging 22.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2021, with growth of 111.0%; the weakest was Q1 2023, with a decline of 15.4%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $10.45 million (Q1 2026), $10.51 million (Q4 2025) and $9.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Alpha Tau Medical | 1.18 Bn | 1.07 Bn | - | 9.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.63 Mn |
| Mar 31, 2026 | 10.45 Mn |
| Dec 31, 2025 | 10.51 Mn |
| Sep 30, 2025 | 9.14 Mn |
| Jun 30, 2025 | 8.16 Mn |
| Mar 31, 2025 | 9.77 Mn |
| Dec 31, 2024 | 8.68 Mn |
| Sep 30, 2024 | 6.35 Mn |
| Jun 30, 2024 | 6.46 Mn |
| Mar 31, 2024 | 7.00 Mn |
| Dec 31, 2023 | 7.10 Mn |
| Sep 30, 2023 | 6.24 Mn |
| Jun 30, 2023 | 5.42 Mn |
| Mar 31, 2023 | 5.33 Mn |
| Dec 31, 2022 | 4.34 Mn |
| Sep 30, 2022 | 3.35 Mn |
| Jun 30, 2022 | 2.76 Mn |
| Mar 31, 2022 | 6.30 Mn |
| Dec 31, 2021 | 4.41 Mn |
| Dec 31, 2020 | 2.09 Mn |
Alpha Tau Medical Total 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-current-liabilities&ticker=DRTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "DRTS", "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-current-liabilities&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();