Lipocine (LPCN) Total Non-Current Liabilities (2012 - 2024)
Lipocine's Total Non-Current Liabilities was $1.58 million in Q3 2024, down 29.6% from $2.24 million a year earlier and down 6.2% from the prior quarter.
Lipocine (LPCN) Total Non-Current Liabilities (2012 - 2024) Analysis & Trends
At the end of FY2023, Total Non-Current Liabilities at Lipocine came in at $2.61 million, up 55.8% from FY2022.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of -26.1% (FY2019 to FY2023).
- In earlier years, Total Non-Current Liabilities was $1.68 million in FY2022 (-72.6%), $6.12 million in FY2021 (-30.8%), $8.84 million in FY2020 (+0.7%) and $8.78 million in FY2019.
- Quarterly Total Non-Current Liabilities has moved between $1.43 million (Q1 2024) and $9.93 million (Q2 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with an average decline of 9.6% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2023 (growth of 55.8%); the worst was Q2 2022 (a decline of 82.8%).
- Per Business Quant data, LPCN's Total Non-Current Liabilities in the three quarters before Q3 2024 was $1.68 million (Q2 2024), $1.43 million (Q1 2024) and $2.61 million (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Lipocine | 11.71 Mn | -56.01 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 1.58 Mn |
| Jun 30, 2024 | 1.68 Mn |
| Mar 31, 2024 | 1.43 Mn |
| Dec 31, 2023 | 2.61 Mn |
| Sep 30, 2023 | 2.24 Mn |
| Jun 30, 2023 | 1.83 Mn |
| Mar 31, 2023 | 1.93 Mn |
| Dec 31, 2022 | 1.68 Mn |
| Sep 30, 2022 | 1.51 Mn |
| Jun 30, 2022 | 1.71 Mn |
| Mar 31, 2022 | 4.02 Mn |
| Dec 31, 2021 | 6.12 Mn |
| Sep 30, 2021 | 6.93 Mn |
| Jun 30, 2021 | 9.93 Mn |
| Mar 31, 2021 | 6.84 Mn |
| Dec 31, 2020 | 8.84 Mn |
| Sep 30, 2020 | 8.94 Mn |
| Jun 30, 2020 | 8.23 Mn |
| Mar 31, 2020 | 8.75 Mn |
| Dec 31, 2019 | 8.78 Mn |
Lipocine Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=LPCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=LPCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();