Lantheus Holdings (LNTH) Long-Term Debt Repayments (2014 - 2026)
Lantheus Holdings (LNTH) recorded Long-Term Debt Repayments of $248,000 in Q2 2026, up 293.7% from $63,000 a year earlier and up 14.8% from the prior quarter.
Lantheus Holdings (LNTH) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
On a TTM basis, Lantheus Holdings' Long-Term Debt Repayments came in at $1.11 million as of Jun 30, 2026, up 615.5% year-over-year; for FY2025, it was $1.11 million, up 249.1% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -41.0% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $318,000 in FY2024 (-55.6%), $717,000 in FY2023 (-99.6%), $175.39 million in FY2022 (+304.6%) and $43.35 million in FY2021 (+179.8%).
- Quarterly Long-Term Debt Repayments has ranged from -$252,000 in Q3 2024 to $167.49 million in Q4 2022 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in two of the last four quarters, with growth averaging 70.0%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 293.7% in Q2 2026, against a decline of 100.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $216,000 (Q1 2026), $353,000 (Q4 2025) and $292,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.79 Bn | 232.82 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 179.47 Bn | 149.90 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 159.28 Bn | 143.09 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.47 Bn | 133.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 120.70 Bn | 85.96 Bn | 6.34 Bn | - |
| 6 | Stryker | 116.46 Bn | 102.57 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.55 Bn | 62.32 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.08 Bn | 50.23 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.76 Bn | 34.77 Bn | 1.35 Bn | - |
| 10 | Lantheus Holdings | 6.52 Bn | 4.69 Bn | 241.86 Mn | 248,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248,000.00 |
| Mar 31, 2026 | 216,000.00 |
| Dec 31, 2025 | 353,000.00 |
| Sep 30, 2025 | 292,000.00 |
| Jun 30, 2025 | 63,000.00 |
| Mar 31, 2025 | 402,000.00 |
| Dec 31, 2024 | -58,000.00 |
| Sep 30, 2024 | -252,000.00 |
| Jun 30, 2024 | 444,000.00 |
| Mar 31, 2024 | 184,000.00 |
| Dec 31, 2023 | 32,000.00 |
| Sep 30, 2023 | 157,000.00 |
| Jun 30, 2023 | 231,000.00 |
| Mar 31, 2023 | 297,000.00 |
| Dec 31, 2022 | 167.49 Mn |
| Sep 30, 2022 | 2.67 Mn |
| Jun 30, 2022 | 2.61 Mn |
| Mar 31, 2022 | 2.61 Mn |
| Dec 31, 2021 | 2.59 Mn |
| Sep 30, 2021 | 2.62 Mn |
Lantheus Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=LNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();