Imunon (IMNN) Total Non-Current Liabilities (2010 - 2022)
Imunon's Total Non-Current Liabilities was $13.78 million in Q3 2022, up 7.8% from $12.78 million a year earlier and up 6.9% from the prior quarter.
Imunon (IMNN) Total Non-Current Liabilities (2010 - 2022) Analysis & Trends
At the end of FY2021, Total Non-Current Liabilities at Imunon came in at $12.85 million, up 8.0% from FY2020.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 3.3% (FY2016 to FY2021).
- In earlier years, Total Non-Current Liabilities was $11.9 million in FY2020 (-33.9%), $18 million in FY2019 (+5.4%), $17.09 million in FY2018 (+106.6%) and $8.27 million in FY2017 (-24.4%).
- The Q3 2022 figure marks the highest quarterly Total Non-Current Liabilities since Q2 2020.
- Compared with a year earlier, Total Non-Current Liabilities has increased for five straight quarters, with an average decline of 5.7% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2019 (growth of 140.4%); the worst was Q3 2020 (a decline of 40.4%).
- Per Business Quant data, IMNN's Total Non-Current Liabilities in the three quarters before Q3 2022 was $12.89 million (Q2 2022), $12.68 million (Q1 2022) and $12.85 million (Q4 2021).
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 | Imunon | 6.25 Mn | 6.25 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 13.78 Mn |
| Jun 30, 2022 | 12.89 Mn |
| Mar 31, 2022 | 12.68 Mn |
| Dec 31, 2021 | 12.85 Mn |
| Sep 30, 2021 | 12.78 Mn |
| Jun 30, 2021 | 11.87 Mn |
| Mar 31, 2021 | 10.91 Mn |
| Dec 31, 2020 | 11.90 Mn |
| Sep 30, 2020 | 11.50 Mn |
| Jun 30, 2020 | 16.50 Mn |
| Mar 31, 2020 | 16.97 Mn |
| Dec 31, 2019 | 18.00 Mn |
| Sep 30, 2019 | 19.29 Mn |
| Jun 30, 2019 | 18.85 Mn |
| Mar 31, 2019 | 18.22 Mn |
| Dec 31, 2018 | 17.09 Mn |
| Sep 30, 2018 | 16.81 Mn |
| Jun 30, 2018 | 17.28 Mn |
| Mar 31, 2018 | 7.58 Mn |
| Dec 31, 2017 | 8.27 Mn |
Imunon 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=IMNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IMNN", "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=IMNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();