Lantheus Holdings (LNTH) Tax Provisions (2014 - 2026)
Lantheus Holdings (LNTH) reported Tax Provisions of $18.8 million for Q2 2026, down 27.0% from $25.76 million a year earlier and down 50.5% from the prior quarter.
Lantheus Holdings (LNTH) Tax Provisions (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lantheus Holdings' Tax Provisions came in at $87.67 million, down 16.8% year-over-year; for FY2025, it was $80.23 million, down 32.3% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 109.4% (FY2020 to FY2025).
- By year, Tax Provisions came in at $118.54 million in FY2024 (+40.6%), $84.28 million in FY2023, -$1.35 million in FY2022 and -$3.76 million in FY2021.
- Five-year quarterly Tax Provisions spans a low of -$57.06 million in Q4 2022 and a high of $45.03 million in Q3 2024.
- Year over year, Tax Provisions gained in four of the last eight quarters, with an average decline of 2.4%.
- The high point for year-over-year Tax Provisions in five years was Q1 2022 (growth of 180.1%); the low point was Q4 2024 (a decline of 68.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.99 million (Q1 2026), $16.28 million (Q4 2025) and $14.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.40 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 102.00 Mn |
| 10 | Lantheus Holdings | 6.49 Bn | 4.66 Bn | 241.86 Mn | 18.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.80 Mn |
| Mar 31, 2026 | 37.99 Mn |
| Dec 31, 2025 | 16.28 Mn |
| Sep 30, 2025 | 14.61 Mn |
| Jun 30, 2025 | 25.76 Mn |
| Mar 31, 2025 | 23.58 Mn |
| Dec 31, 2024 | 11.01 Mn |
| Sep 30, 2024 | 45.03 Mn |
| Jun 30, 2024 | 22.30 Mn |
| Mar 31, 2024 | 40.20 Mn |
| Dec 31, 2023 | 35.02 Mn |
| Sep 30, 2023 | 28.00 Mn |
| Jun 30, 2023 | 29.56 Mn |
| Mar 31, 2023 | -8.30 Mn |
| Dec 31, 2022 | -57.06 Mn |
| Sep 30, 2022 | 21.78 Mn |
| Jun 30, 2022 | 18.99 Mn |
| Mar 31, 2022 | 14.94 Mn |
| Dec 31, 2021 | -792,000.00 |
| Sep 30, 2021 | -6.42 Mn |
Lantheus Holdings Tax Provisions 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=tax-provisions&ticker=LNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();