Artelo Biosciences (ARTL) Non-Current Debt (2015 - 2025)
Artelo Biosciences (ARTL) reported Non-Current Debt of $338.00 for Q4 2021, compared with -$1,960 a year earlier.
Analysis
Artelo Biosciences (ARTL) Non-Current Debt (2015 - 2025) Analysis & Trends
For FY2021, Artelo Biosciences posted Non-Current Debt of -$8,000.
- By year, Non-Current Debt came in at -$5,000 in FY2020, -$17,228 in FY2019, -$18,056 in FY2018 and -$11,317 in FY2017.
- The Q4 2021 figure ranks as the highest quarterly Non-Current Debt in data going back to Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,133.08 Bn | 1,101.67 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 616.40 Bn | 534.93 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 501.19 Bn | 474.31 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 367.18 Bn | 321.56 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 297.99 Bn | 261.98 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.67 Bn | 235.36 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 235.57 Bn | 190.97 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 190.62 Bn | 164.82 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 169.63 Bn | 116.28 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Artelo Biosciences | 53,401.68 | -5.08 Mn | - | -129,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -129,000.00 |
| Aug 31, 2021 | 338.00 |
| Feb 28, 2021 | -7,338.00 |
| Nov 30, 2020 | -1,000.00 |
| Aug 31, 2020 | -1,960.00 |
| Nov 30, 2019 | -3,040.00 |
| Aug 31, 2019 | -9,141.00 |
| May 31, 2019 | -2,866.00 |
| Feb 28, 2019 | -4,663.00 |
| Nov 30, 2018 | -558.00 |
| Aug 31, 2018 | -1,454.00 |
| May 31, 2018 | -759.00 |
| Feb 28, 2018 | -7,338.00 |
| Nov 30, 2017 | -8,505.00 |
| Aug 31, 2017 | 21,311.00 |
| May 31, 2017 | 3,174.00 |
| Feb 28, 2017 | 17,094.00 |
| Nov 30, 2016 | 12,406.00 |
| May 31, 2016 | 3,850.00 |
| Nov 30, 2015 | 600.00 |
API Access
Artelo Biosciences Non-Current Debt 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=non-current-debt&ticker=ARTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "ARTL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=ARTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();