Lantheus Holdings (LNTH) Total Liabilities (2014 - 2026)
Lantheus Holdings (LNTH) posted Total Liabilities of $1.1 billion for Q2 2026, up 16.2% from $949.29 million a year earlier but down 2.8% from the prior quarter.
Lantheus Holdings (LNTH) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Lantheus Holdings' Total Liabilities came in at $1.14 billion, up 27.5% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 26.2% (FY2020 to FY2025).
- In prior years, Lantheus Holdings' Total Liabilities was $892.33 million in FY2024 (+6.8%), $835.26 million in FY2023 (-4.4%), $874.11 million in FY2022 (+118.9%) and $399.35 million in FY2021 (+12.3%).
- Quarterly Total Liabilities has run from a low of $348.47 million in Q3 2021 to a high of $1.16 billion in Q3 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last nine quarters, with growth averaging 15.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 118.9%; the weakest was Q3 2021, with a decline of 4.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.13 billion (Q1 2026), $1.14 billion (Q4 2025) and $1.16 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.83 Bn | 233.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 178.86 Bn | 149.29 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.59 Bn | 142.40 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 154.87 Bn | 134.29 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 120.76 Bn | 86.01 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 116.61 Bn | 102.73 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 66.46 Bn | 61.23 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 52.99 Bn | 50.13 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.64 Bn | 34.65 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Lantheus Holdings | 6.52 Bn | 4.69 Bn | 241.86 Mn | 1.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Bn |
| Mar 31, 2026 | 1.13 Bn |
| Dec 31, 2025 | 1.14 Bn |
| Sep 30, 2025 | 1.16 Bn |
| Jun 30, 2025 | 949.29 Mn |
| Mar 31, 2025 | 891.03 Mn |
| Dec 31, 2024 | 892.33 Mn |
| Sep 30, 2024 | 869.92 Mn |
| Jun 30, 2024 | 913.15 Mn |
| Mar 31, 2024 | 885.79 Mn |
| Dec 31, 2023 | 835.26 Mn |
| Sep 30, 2023 | 822.85 Mn |
| Jun 30, 2023 | 785.08 Mn |
| Mar 31, 2023 | 903.77 Mn |
| Dec 31, 2022 | 874.11 Mn |
| Sep 30, 2022 | 457.89 Mn |
| Jun 30, 2022 | 446.49 Mn |
| Mar 31, 2022 | 417.32 Mn |
| Dec 31, 2021 | 399.35 Mn |
| Sep 30, 2021 | 348.47 Mn |
Lantheus Holdings 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=LNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LNTH", "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=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();