Lantheus Holdings (LNTH) Non-Current Assets (2014 - 2026)
Lantheus Holdings (LNTH) reported Non-Current Assets of $1.39 billion for Q2 2026, up 51.8% from $914.26 million a year earlier but down 1.2% from the prior quarter.
Lantheus Holdings (LNTH) Non-Current Assets (2014 - 2026) Analysis & Trends
At the end of FY2025, Lantheus Holdings posted Non-Current Assets of $1.33 billion, up 103.1% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $653.71 million in FY2024 (+15.6%), $565.33 million in FY2023 (-12.2%), $643.64 million in FY2022 (+2.5%) and $627.99 million in FY2021 (-8.4%).
- Five-year quarterly Non-Current Assets spans a low of $565.33 million in Q4 2023 and a high of $1.4 billion in Q1 2026.
- Year over year, Non-Current Assets has now increased in each of the last five quarters, with growth averaging 53.1% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q1 2026 (growth of 122.4%); the low point was Q4 2023 (a decline of 12.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.4 billion (Q1 2026), $1.33 billion (Q4 2025) and $1.35 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.94 Bn | 232.97 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 180.99 Bn | 151.42 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.28 Bn | 142.09 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 154.14 Bn | 133.57 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 120.49 Bn | 85.74 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 115.65 Bn | 101.76 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 67.10 Bn | 61.87 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 52.88 Bn | 50.03 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.48 Bn | 34.48 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Lantheus Holdings | 6.53 Bn | 4.70 Bn | 241.86 Mn | 1.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.39 Bn |
| Mar 31, 2026 | 1.40 Bn |
| Dec 31, 2025 | 1.33 Bn |
| Sep 30, 2025 | 1.35 Bn |
| Jun 30, 2025 | 914.26 Mn |
| Mar 31, 2025 | 631.44 Mn |
| Dec 31, 2024 | 653.71 Mn |
| Sep 30, 2024 | 753.92 Mn |
| Jun 30, 2024 | 708.69 Mn |
| Mar 31, 2024 | 682.53 Mn |
| Dec 31, 2023 | 565.33 Mn |
| Sep 30, 2023 | 573.18 Mn |
| Jun 30, 2023 | 585.50 Mn |
| Mar 31, 2023 | 576.01 Mn |
| Dec 31, 2022 | 643.64 Mn |
| Sep 30, 2022 | 594.04 Mn |
| Jun 30, 2022 | 609.40 Mn |
| Mar 31, 2022 | 608.42 Mn |
| Dec 31, 2021 | 627.99 Mn |
| Sep 30, 2021 | 646.30 Mn |
Lantheus Holdings Non-Current Assets 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-assets&ticker=LNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();