Lantheus Holdings (LNTH) Total Current Liabilities (2014 - 2026)
Lantheus Holdings (LNTH) reported Total Current Liabilities of $335.68 million for Q2 2026, up 19.8% from $280.13 million a year earlier and up 0.8% from the prior quarter.
Lantheus Holdings (LNTH) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Lantheus Holdings posted Total Current Liabilities of $333.42 million, up 38.6% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $240.53 million in FY2024 (+28.4%), $187.35 million in FY2023 (-24.4%), $247.7 million in FY2022 (+173.7%) and $90.5 million in FY2021 (+12.4%).
- Five-year quarterly Total Current Liabilities spans a low of $76.9 million in Q3 2021 and a high of $784.08 million in Q3 2024.
- Year over year, Total Current Liabilities has now increased in each of the last three quarters, with growth averaging 52.5% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2024 (growth of 344.0%); the low point was Q3 2025 (a decline of 55.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $333.17 million (Q1 2026), $333.42 million (Q4 2025) and $346.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.94 Bn | 232.97 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 180.99 Bn | 151.42 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.28 Bn | 142.09 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 154.14 Bn | 133.57 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 120.49 Bn | 85.74 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 115.65 Bn | 101.76 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 67.10 Bn | 61.87 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 52.88 Bn | 50.03 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.48 Bn | 34.48 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Lantheus Holdings | 6.53 Bn | 4.70 Bn | 241.86 Mn | 335.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 335.68 Mn |
| Mar 31, 2026 | 333.17 Mn |
| Dec 31, 2025 | 333.42 Mn |
| Sep 30, 2025 | 346.84 Mn |
| Jun 30, 2025 | 280.13 Mn |
| Mar 31, 2025 | 248.00 Mn |
| Dec 31, 2024 | 240.53 Mn |
| Sep 30, 2024 | 784.08 Mn |
| Jun 30, 2024 | 263.29 Mn |
| Mar 31, 2024 | 237.20 Mn |
| Dec 31, 2023 | 187.35 Mn |
| Sep 30, 2023 | 176.60 Mn |
| Jun 30, 2023 | 154.04 Mn |
| Mar 31, 2023 | 276.39 Mn |
| Dec 31, 2022 | 247.70 Mn |
| Sep 30, 2022 | 235.98 Mn |
| Jun 30, 2022 | 219.02 Mn |
| Mar 31, 2022 | 177.66 Mn |
| Dec 31, 2021 | 90.50 Mn |
| Sep 30, 2021 | 76.90 Mn |
Lantheus Holdings Total 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=total-current-liabilities&ticker=LNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-current-liabilities&ticker=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();