TriSalus Life Sciences (TLSI) Total Liabilities (2020 - 2026)
TriSalus Life Sciences (TLSI) posted Total Liabilities of $55.9 million for Q2 2026, down 8.0% from $60.74 million a year earlier and down 3.9% from the prior quarter.
TriSalus Life Sciences (TLSI) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, TriSalus Life Sciences' Total Liabilities came in at $69.19 million, up 38.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -24.0% (FY2020 to FY2025).
- In prior years, TriSalus Life Sciences' Total Liabilities was $49.87 million in FY2024 (-3.5%), $51.66 million in FY2023 (-74.1%), $199.13 million in FY2022 (-47.6%) and $380.14 million in FY2021 (+39.0%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2024.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 20.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2024, with growth of 89.7%; the weakest was Q3 2023, with a decline of 93.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $58.17 million (Q1 2026), $69.19 million (Q4 2025) and $63.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | TriSalus Life Sciences | 269.85 Mn | 123.88 Mn | 9.90 Mn | 55.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.90 Mn |
| Mar 31, 2026 | 58.17 Mn |
| Dec 31, 2025 | 69.19 Mn |
| Sep 30, 2025 | 63.19 Mn |
| Jun 30, 2025 | 60.74 Mn |
| Mar 31, 2025 | 63.00 Mn |
| Dec 31, 2024 | 49.87 Mn |
| Sep 30, 2024 | 47.91 Mn |
| Jun 30, 2024 | 57.69 Mn |
| Mar 31, 2024 | 53.93 Mn |
| Dec 31, 2023 | 51.66 Mn |
| Sep 30, 2023 | 25.26 Mn |
| Jun 30, 2023 | 210.66 Mn |
| Mar 31, 2023 | 205.04 Mn |
| Dec 31, 2022 | 199.13 Mn |
| Sep 30, 2022 | 405.25 Mn |
| Jun 30, 2022 | 396.51 Mn |
| Mar 31, 2022 | 387.75 Mn |
| Dec 31, 2021 | 380.14 Mn |
| Sep 30, 2021 | 270.37 Mn |
TriSalus Life 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=TLSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TLSI", "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=TLSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();