Artelo Biosciences (ARTL) Total Liabilities (2015 - 2025)
Artelo Biosciences' Total Liabilities came in at $4.07 million for Q4 2025, up 121.2% from $1.84 million a year earlier but down 16.9% from the prior quarter.
Powered by 
Analysis
Artelo Biosciences (ARTL) Total Liabilities (2015 - 2025) Analysis & Trends
Going back to Q2 2015, Artelo Biosciences' Total Liabilities data covers 42 quarters.
- Total Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 52.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $1.84 million in FY2024 (+42.6%), $1.29 million in FY2023 (+26.4%), $1.02 million in FY2022 (-5.8%) and $1.08 million in FY2021.
- The five-year range for quarterly Total Liabilities is $423,943 (Q3 2021) to $5.76 million (Q2 2025).
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 182.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2025 (growth of 532.3%), and the weakest in Q1 2021 (a decline of 17.0%).
- Business Quant data shows ARTL's Total Liabilities at $4.9 million (Q3 2025), $5.76 million (Q2 2025) and $2.86 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Artelo Biosciences | 85,673.20 | -5.05 Mn | - | 4.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.07 Mn |
| Sep 30, 2025 | 4.90 Mn |
| Jun 30, 2025 | 5.76 Mn |
| Mar 31, 2025 | 2.86 Mn |
| Dec 31, 2024 | 1.84 Mn |
| Sep 30, 2024 | 775,000.00 |
| Jun 30, 2024 | 1.03 Mn |
| Mar 31, 2024 | 817,000.00 |
| Dec 31, 2023 | 1.29 Mn |
| Sep 30, 2023 | 921,000.00 |
| Jun 30, 2023 | 609,000.00 |
| Mar 31, 2023 | 840,000.00 |
| Dec 31, 2022 | 1.02 Mn |
| Sep 30, 2022 | 512,000.00 |
| Jun 30, 2022 | 567,000.00 |
| Mar 31, 2022 | 924,000.00 |
| Nov 30, 2021 | 718,000.00 |
| Aug 31, 2021 | 593,000.00 |
| May 31, 2021 | 423,943.00 |
| Feb 28, 2021 | 588,966.00 |
API Access
Artelo Biosciences Total 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-liabilities&ticker=ARTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ARTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();