Lantheus Holdings (LNTH) Selling, General & Administrative (2014 - 2026)
Lantheus Holdings (LNTH) recorded Selling, General & Administrative of $20.63 million in Q2 2026, down 69.0% from $66.52 million a year earlier and down 64.1% from the prior quarter.
Lantheus Holdings (LNTH) Selling, General & Administrative (2014 - 2026) Analysis & Trends
On a TTM basis, Lantheus Holdings' Selling, General & Administrative came in at $229.96 million as of Jun 30, 2026, up 3.7% year-over-year; for FY2025, it came in at $275.12 million, up 42.0% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 31.8% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $193.69 million in FY2024 (+54.4%), $125.46 million in FY2023 (-6.1%), $133.58 million in FY2022 (-11.2%) and $150.4 million in FY2021 (+117.1%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q1 2021.
- On a year-over-year basis, Selling, General & Administrative rose in seven of the last eight quarters, with growth averaging 21.4%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 357.0% in Q4 2021, against a decline of 69.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $57.53 million (Q1 2026), $69.89 million (Q4 2025) and $81.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Lantheus Holdings | 6.50 Bn | 4.66 Bn | 241.86 Mn | 20.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.63 Mn |
| Mar 31, 2026 | 57.53 Mn |
| Dec 31, 2025 | 69.89 Mn |
| Sep 30, 2025 | 81.90 Mn |
| Jun 30, 2025 | 66.52 Mn |
| Mar 31, 2025 | 56.82 Mn |
| Dec 31, 2024 | 57.87 Mn |
| Sep 30, 2024 | 40.52 Mn |
| Jun 30, 2024 | 47.41 Mn |
| Mar 31, 2024 | 47.90 Mn |
| Dec 31, 2023 | 40.30 Mn |
| Sep 30, 2023 | 35.74 Mn |
| Jun 30, 2023 | 26.15 Mn |
| Mar 31, 2023 | 23.27 Mn |
| Dec 31, 2022 | 39.64 Mn |
| Sep 30, 2022 | 23.76 Mn |
| Jun 30, 2022 | 32.60 Mn |
| Mar 31, 2022 | 37.59 Mn |
| Dec 31, 2021 | 62.53 Mn |
| Sep 30, 2021 | 28.55 Mn |
Lantheus Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=LNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();