Lantheus Holdings (LNTH) Cost of Revenue (2014 - 2026)
Lantheus Holdings (LNTH) reported Cost of Revenue of $146.33 million for Q2 2026, up 6.8% from $137.03 million a year earlier but down 0.1% from the prior quarter.
Lantheus Holdings (LNTH) Cost of Revenue (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lantheus Holdings' Cost of Revenue came in at $620.3 million, up 12.5% year-over-year; for FY2025, it came in at $599.66 million, up 9.9% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $545.62 million in FY2024 (-7.0%), $586.89 million in FY2023 (+66.1%), $353.36 million in FY2022 (+48.8%) and $237.51 million in FY2021 (+18.4%).
- Five-year quarterly Cost of Revenue spans a low of $59.4 million in Q3 2021 and a high of $223.71 million in Q1 2023.
- Year over year, Cost of Revenue has now increased in each of the last four quarters, with growth averaging 10.4% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q1 2023 (growth of 180.3%); the low point was Q1 2024 (a decline of 42.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $146.41 million (Q1 2026), $165.91 million (Q4 2025) and $161.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Lantheus Holdings | 6.52 Bn | 4.69 Bn | 241.86 Mn | 146.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.33 Mn |
| Mar 31, 2026 | 146.41 Mn |
| Dec 31, 2025 | 165.91 Mn |
| Sep 30, 2025 | 161.65 Mn |
| Jun 30, 2025 | 137.03 Mn |
| Mar 31, 2025 | 135.06 Mn |
| Dec 31, 2024 | 142.57 Mn |
| Sep 30, 2024 | 136.61 Mn |
| Jun 30, 2024 | 138.32 Mn |
| Mar 31, 2024 | 128.13 Mn |
| Dec 31, 2023 | 124.13 Mn |
| Sep 30, 2023 | 120.00 Mn |
| Jun 30, 2023 | 119.05 Mn |
| Mar 31, 2023 | 223.71 Mn |
| Dec 31, 2022 | 96.00 Mn |
| Sep 30, 2022 | 91.86 Mn |
| Jun 30, 2022 | 85.69 Mn |
| Mar 31, 2022 | 79.81 Mn |
| Dec 31, 2021 | 71.65 Mn |
| Sep 30, 2021 | 59.40 Mn |
Lantheus Holdings Cost of Revenue 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=cost-of-revenue&ticker=LNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();