Lantheus Holdings (LNTH) Non-Current Debt (2014 - 2026)
Lantheus Holdings (LNTH) recorded Non-Current Debt of $570.35 million in Q2 2026, up 0.6% from $566.85 million a year earlier and up 0.1% from the prior quarter.
Lantheus Holdings (LNTH) Non-Current Debt (2014 - 2026) Analysis & Trends
At the end of FY2025, Lantheus Holdings reported Non-Current Debt of $568.68 million, up 0.6% from FY2024.
- Annual Non-Current Debt has increased for four straight years, with a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- Across earlier years, Non-Current Debt came in at $565.28 million in FY2024 (+0.6%), $561.67 million in FY2023 (+0.7%), $557.71 million in FY2022 (+241.9%) and $163.12 million in FY2021 (-17.5%).
- The Q2 2026 figure is the highest quarterly Non-Current Debt in data going back to Q4 2014.
- On a year-over-year basis, Non-Current Debt has increased for three consecutive quarters, with an average decline of 13.7% over the last seven quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 268.7% in Q3 2023, against a decline of 99.9% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $569.6 million (Q1 2026), $568.68 million (Q4 2025) and $567.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.94 Bn | 232.97 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 180.99 Bn | 151.42 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.28 Bn | 142.09 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 154.14 Bn | 133.57 Bn | 1.96 Bn | - |
| 5 | Medtronic | 120.49 Bn | 85.74 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 115.65 Bn | 101.76 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 67.10 Bn | 61.87 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 52.88 Bn | 50.03 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 50.48 Bn | 34.48 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Lantheus Holdings | 6.53 Bn | 4.70 Bn | 241.86 Mn | 570.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 570.35 Mn |
| Mar 31, 2026 | 569.60 Mn |
| Dec 31, 2025 | 568.68 Mn |
| Sep 30, 2025 | 567.94 Mn |
| Jun 30, 2025 | 566.85 Mn |
| Mar 31, 2025 | 566.10 Mn |
| Dec 31, 2024 | 565.28 Mn |
| Sep 30, 2024 | 613,000.00 |
| Jun 30, 2024 | 563.19 Mn |
| Mar 31, 2024 | 562.47 Mn |
| Dec 31, 2023 | 561.67 Mn |
| Sep 30, 2023 | 560.58 Mn |
| Jun 30, 2023 | 559.24 Mn |
| Mar 31, 2023 | 558.54 Mn |
| Dec 31, 2022 | 557.71 Mn |
| Sep 30, 2022 | 152.06 Mn |
| Jun 30, 2022 | 155.66 Mn |
| Mar 31, 2022 | 159.37 Mn |
| Dec 31, 2021 | 163.12 Mn |
| Sep 30, 2021 | 166.74 Mn |
Lantheus Holdings Non-Current Debt 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=non-current-debt&ticker=LNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();