Skye Bioscience (SKYE) Total Non-Current Liabilities (2014 - 2022)
Skye Bioscience (SKYE) recorded Total Non-Current Liabilities of $6.15 million in Q3 2022, up 91.4% from $3.21 million a year earlier and up 16.9% from the prior quarter.
Skye Bioscience (SKYE) Total Non-Current Liabilities (2014 - 2022) Analysis & Trends
At the end of FY2021, Skye Bioscience reported Total Non-Current Liabilities of $3.93 million, up 80.1% from FY2020.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 28.7% (FY2016 to FY2021).
- Across earlier years, Total Non-Current Liabilities came in at $2.18 million in FY2020 (+130.4%), $947,285 in FY2019 (-39.3%), $1.56 million in FY2018 (+183.1%) and $551,322 in FY2017 (-50.4%).
- The Q3 2022 figure is the highest quarterly Total Non-Current Liabilities since Q1 2018.
- On a year-over-year basis, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 64.3% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 681.0% in Q1 2018, against a decline of 81.8% in Q2 2018 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.26 million (Q2 2022), $4.22 million (Q1 2022) and $3.93 million (Q4 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Skye Bioscience | 7.90 Mn | -80.32 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 6.15 Mn |
| Jun 30, 2022 | 5.26 Mn |
| Mar 31, 2022 | 4.22 Mn |
| Dec 31, 2021 | 3.93 Mn |
| Sep 30, 2021 | 3.21 Mn |
| Jun 30, 2021 | 2.82 Mn |
| Mar 31, 2021 | 2.64 Mn |
| Dec 31, 2020 | 2.18 Mn |
| Sep 30, 2020 | 2.46 Mn |
| Jun 30, 2020 | 2.86 Mn |
| Mar 31, 2020 | 1.94 Mn |
| Dec 31, 2019 | 947,285.00 |
| Sep 30, 2019 | 3.25 Mn |
| Jun 30, 2019 | 3.03 Mn |
| Mar 31, 2019 | 2.33 Mn |
| Dec 31, 2018 | 1.34 Mn |
| Sep 30, 2018 | 210,434.00 |
| Jun 30, 2018 | 195,771.00 |
| Mar 31, 2018 | 8.59 Mn |
| Dec 31, 2017 | 551,322.00 |
Skye Bioscience 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=SKYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SKYE", "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=SKYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();