Lantheus Holdings (LNTH) Other Non-Current Liabilities (2014 - 2026)
Lantheus Holdings' Other Non-Current Liabilities was $91.53 million in Q2 2026, down 10.4% from $102.18 million a year earlier and down 13.0% from the prior quarter.
Lantheus Holdings (LNTH) Other Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Lantheus Holdings came in at $107.87 million, up 70.7% from FY2024.
- Other Non-Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $63.18 million in FY2024 (+175.7%), $22.92 million in FY2023 (+1.7%), $22.54 million in FY2022 (+8.2%) and $20.83 million in FY2021 (-67.1%).
- The Q2 2026 figure marks the lowest quarterly Other Non-Current Liabilities since Q1 2025.
- Compared with a year earlier, Other Non-Current Liabilities was higher in five of the last eight quarters, with growth averaging 57.0%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q4 2024 (growth of 175.7%); the worst was Q4 2021 (a decline of 67.1%).
- Per Business Quant data, LNTH's Other Non-Current Liabilities in the three quarters before Q2 2026 was $105.24 million (Q1 2026), $107.87 million (Q4 2025) and $116.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.43 Bn | 232.46 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 180.50 Bn | 150.93 Bn | 7.27 Bn |
| 3 | Danaher | 158.50 Bn | 142.31 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 153.91 Bn | 133.33 Bn | 1.96 Bn |
| 5 | Medtronic | 120.42 Bn | 85.67 Bn | 6.34 Bn |
| 6 | Stryker | 114.95 Bn | 101.07 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.05 Bn | 61.82 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 52.69 Bn | 49.84 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.33 Bn | 34.34 Bn | 1.35 Bn |
| 10 | Lantheus Holdings | 6.53 Bn | 4.70 Bn | 241.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.53 Mn |
| Mar 31, 2026 | 105.24 Mn |
| Dec 31, 2025 | 107.87 Mn |
| Sep 30, 2025 | 116.18 Mn |
| Jun 30, 2025 | 102.18 Mn |
| Mar 31, 2025 | 78.59 Mn |
| Dec 31, 2024 | 63.18 Mn |
| Sep 30, 2024 | 87.09 Mn |
| Jun 30, 2024 | 88.64 Mn |
| Mar 31, 2024 | 88.21 Mn |
| Dec 31, 2023 | 63.32 Mn |
| Sep 30, 2023 | 65.35 Mn |
| Jun 30, 2023 | 52.07 Mn |
| Mar 31, 2023 | 156.41 Mn |
| Dec 31, 2022 | 157.76 Mn |
| Sep 30, 2022 | 46.49 Mn |
| Jun 30, 2022 | 49.62 Mn |
| Mar 31, 2022 | 58.78 Mn |
| Dec 31, 2021 | 211.09 Mn |
| Sep 30, 2021 | 89.64 Mn |
Lantheus Holdings Other 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=other-non-current-liabilities&ticker=LNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();