Lantheus Holdings (LNTH) Accounts Payables (2014 - 2026)
Lantheus Holdings (LNTH) reported Accounts Payables of $286.87 million for Q2 2026, up 37.5% from $208.6 million a year earlier and up 0.1% from the prior quarter.
Lantheus Holdings (LNTH) Accounts Payables (2014 - 2026) Analysis & Trends
At the end of FY2025, Lantheus Holdings posted Accounts Payables of $267.31 million, up 30.4% from FY2024.
- Accounts Payables has increased for ten consecutive years, with a five-year compound annual growth rate of 45.0% (FY2020 to FY2025).
- By year, Accounts Payables came in at $204.99 million in FY2024 (+41.0%), $145.34 million in FY2023 (+14.4%), $127.08 million in FY2022 (+118.9%) and $58.07 million in FY2021 (+39.2%).
- The Q2 2026 figure ranks as the highest quarterly Accounts Payables in data going back to Q4 2014.
- Year over year, Accounts Payables has now increased in each of the last four quarters, with growth averaging 27.5% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was Q2 2022 (growth of 337.8%); the low point was Q2 2023 (a decline of 37.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $286.49 million (Q1 2026), $267.31 million (Q4 2025) and $251.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Lantheus Holdings | 6.54 Bn | 4.71 Bn | 241.86 Mn | 286.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 286.87 Mn |
| Mar 31, 2026 | 286.49 Mn |
| Dec 31, 2025 | 267.31 Mn |
| Sep 30, 2025 | 251.11 Mn |
| Jun 30, 2025 | 208.60 Mn |
| Mar 31, 2025 | 202.38 Mn |
| Dec 31, 2024 | 204.99 Mn |
| Sep 30, 2024 | 174.45 Mn |
| Jun 30, 2024 | 212.64 Mn |
| Mar 31, 2024 | 198.94 Mn |
| Dec 31, 2023 | 145.34 Mn |
| Sep 30, 2023 | 138.82 Mn |
| Jun 30, 2023 | 114.80 Mn |
| Mar 31, 2023 | 145.47 Mn |
| Dec 31, 2022 | 127.08 Mn |
| Sep 30, 2022 | 190.48 Mn |
| Jun 30, 2022 | 183.80 Mn |
| Mar 31, 2022 | 142.40 Mn |
| Dec 31, 2021 | 58.07 Mn |
| Sep 30, 2021 | 46.04 Mn |
Lantheus Holdings Accounts Payables 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=accounts-payables&ticker=LNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();