Lipocine (LPCN) Interest Expenses (2018 - 2022)
Lipocine (LPCN) posted Interest Expenses of $27,098 for FY2022, down 86.7% from $203,292 in FY2021.
Analysis
Lipocine (LPCN) Interest Expenses (2018 - 2022) Analysis & Trends
Since FY2019, Lipocine has reported Interest Expenses for 4 years.
- Annual Interest Expenses has declined for three consecutive years, with a three-year compound annual growth rate of -67.2% (FY2019 to FY2022).
- Business Quant data shows LPCN's Interest Expenses at $203,292 in FY2021 (-47.4%), $386,618 in FY2020 (-49.6%) and $766,745 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Lipocine | 11.92 Mn | -55.79 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 7,568.00 |
| Mar 31, 2022 | 19,529.00 |
| Dec 31, 2021 | 32,051.00 |
| Sep 30, 2021 | 44,839.00 |
| Jun 30, 2021 | 57,428.00 |
| Mar 31, 2021 | 68,973.00 |
| Dec 31, 2020 | 81,133.00 |
| Sep 30, 2020 | 84,293.00 |
| Jun 30, 2020 | 87,847.00 |
| Mar 31, 2020 | 133,345.00 |
| Dec 31, 2019 | 154,881.00 |
| Sep 30, 2019 | 183,500.00 |
| Jun 30, 2019 | 204,575.00 |
| Mar 31, 2019 | 223,789.00 |
| Sep 30, 2018 | 218,577.00 |
| Jun 30, 2018 | 211,494.00 |
| Mar 31, 2018 | 192,466.00 |
API Access
Lipocine Interest 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=interest-expenses&ticker=LPCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "LPCN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=LPCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();