Alpha Tau Medical (DRTS) Total Liabilities (2020 - 2026)
Alpha Tau Medical (DRTS) posted Total Liabilities of $90.2 million for Q2 2026, up 270.7% from $24.33 million a year earlier and up 128.8% from the prior quarter.
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Analysis
Alpha Tau Medical (DRTS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Alpha Tau Medical's Total Liabilities came in at $28.55 million, up 21.3% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, though with a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- In prior years, Alpha Tau Medical's Total Liabilities was $23.54 million in FY2024 (+2.7%), $22.91 million in FY2023 (+58.1%), $14.49 million in FY2022 (-81.2%) and $76.99 million in FY2021 (+25.4%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has increased in each of the last 13 quarters, with growth averaging 53.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 270.7%; the weakest was Q4 2022, with a decline of 81.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $39.42 million (Q1 2026), $28.55 million (Q4 2025) and $27.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 20.79 Bn |
| 10 | Alpha Tau Medical | 1.18 Bn | 1.07 Bn | - | 90.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.20 Mn |
| Mar 31, 2026 | 39.42 Mn |
| Dec 31, 2025 | 28.55 Mn |
| Sep 30, 2025 | 27.11 Mn |
| Jun 30, 2025 | 24.33 Mn |
| Mar 31, 2025 | 24.60 Mn |
| Dec 31, 2024 | 23.54 Mn |
| Sep 30, 2024 | 21.33 Mn |
| Jun 30, 2024 | 22.03 Mn |
| Mar 31, 2024 | 23.38 Mn |
| Dec 31, 2023 | 22.91 Mn |
| Sep 30, 2023 | 16.53 Mn |
| Jun 30, 2023 | 18.64 Mn |
| Mar 31, 2023 | 16.88 Mn |
| Dec 31, 2022 | 14.49 Mn |
| Sep 30, 2022 | 12.11 Mn |
| Jun 30, 2022 | 15.71 Mn |
| Mar 31, 2022 | 25.05 Mn |
| Dec 31, 2021 | 76.99 Mn |
| Dec 31, 2020 | 61.42 Mn |
API Access
Alpha Tau Medical 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=DRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();