Lantheus Holdings (LNTH) Other Operating Expenses (2014 - 2016)
Lantheus Holdings' Other Operating Expenses was $40.9 million in FY2020, down 2.4% from $41.89 million in FY2019.
Powered by 
Analysis
Lantheus Holdings (LNTH) Other Operating Expenses (2014 - 2016) Analysis & Trends
From FY2013 onward, Lantheus Holdings has reported Other Operating Expenses for 4 years.
- Other Operating Expenses shows a four-year compound annual growth rate of 59.1% (FY2016 to FY2020).
- The FY2020 figure marks the lowest annual Other Operating Expenses since FY2016.
- Per Business Quant data, Other Operating Expenses in earlier years was $41.89 million in FY2019 and $6.39 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Lantheus Holdings | 6.50 Bn | 4.66 Bn | 241.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -120,000.00 |
| Sep 30, 2016 | 560,000.00 |
| Jun 30, 2016 | 117,000.00 |
| Mar 31, 2016 | 5.83 Mn |
| Dec 31, 2015 | 7.81 Mn |
| Sep 30, 2015 | 8.63 Mn |
| Jun 30, 2015 | 9.23 Mn |
| Mar 31, 2015 | 9.07 Mn |
| Dec 31, 2014 | 7.89 Mn |
| Sep 30, 2014 | 8.33 Mn |
| Jun 30, 2014 | 9.40 Mn |
API Access
Lantheus Holdings Other Operating Expenses 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=other-operating-expenses&ticker=LNTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();