Oragenics (OGEN) Total Non-Current Liabilities (2017 - 2023)
Oragenics (OGEN) recorded Total Non-Current Liabilities of $65,752 in Q2 2023, down 69.7% from $217,353 a year earlier and down 37.1% from the prior quarter.
Powered by 
Analysis
Oragenics (OGEN) Total Non-Current Liabilities (2017 - 2023) Analysis & Trends
At the end of FY2022, Oragenics reported Total Non-Current Liabilities of $152,439, down 49.1% from FY2021.
- Annual Total Non-Current Liabilities has declined for three straight years, with a three-year compound annual growth rate of -39.0% (FY2019 to FY2022).
- Across earlier years, Total Non-Current Liabilities came in at $299,520 in FY2021 (-39.3%), $493,790 in FY2020 (-26.4%) and $670,690 in FY2019.
- The Q2 2023 figure is the lowest quarterly Total Non-Current Liabilities in data going back to Q2 2017.
- On a year-over-year basis, Total Non-Current Liabilities has declined for 13 consecutive quarters, with an average decline of 47.8% over the last eight quarters.
- The year-over-year decline in Total Non-Current Liabilities has ranged between 5.2% (Q2 2020) and 69.7% (Q2 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $104,463 (Q1 2023), $152,439 (Q4 2022) and $204,593 (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Oragenics | 2.12 Mn | 2.12 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 65,752.00 |
| Mar 31, 2023 | 104,463.00 |
| Dec 31, 2022 | 152,439.00 |
| Sep 30, 2022 | 204,593.00 |
| Jun 30, 2022 | 217,353.00 |
| Mar 31, 2022 | 253,928.00 |
| Dec 31, 2021 | 299,520.00 |
| Sep 30, 2021 | 349,199.00 |
| Jun 30, 2021 | 398,177.00 |
| Mar 31, 2021 | 446,464.00 |
| Dec 31, 2020 | 493,790.00 |
| Sep 30, 2020 | 539,381.00 |
| Jun 30, 2020 | 583,866.00 |
| Mar 31, 2020 | 627,723.00 |
| Dec 31, 2019 | 670,690.00 |
| Sep 30, 2019 | 586,170.00 |
| Jun 30, 2019 | 616,157.00 |
| Sep 30, 2017 | 2.40 Mn |
| Jun 30, 2017 | 2.99 Mn |
API Access
Oragenics 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=OGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "OGEN", "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=OGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();