Artelo Biosciences (ARTL) Long-Term Debt Repayments (2017 - 2021)
Artelo Biosciences (ARTL) recorded Long-Term Debt Repayments of $24,000 in FY2025.
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Analysis
Artelo Biosciences (ARTL) Long-Term Debt Repayments (2017 - 2021) Analysis & Trends
Starting with FY2018, Artelo Biosciences' Long-Term Debt Repayments history includes 5 years.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 38.5% (FY2020 to FY2025).
- The FY2025 figure is the highest annual Long-Term Debt Repayments in data going back to FY2018.
- Per Business Quant data, ARTL's Long-Term Debt Repayments was $8,000 in FY2021 (+69.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | - |
| 10 | Artelo Biosciences | 51,409.08 | -5.08 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2021 | 7,247.00 |
| Nov 30, 2020 | 1,090.00 |
| Aug 31, 2020 | 1,670.00 |
| 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 |
API Access
Artelo Biosciences Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ARTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ARTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();