Artelo Biosciences (ARTL) Total Liabilities (2015 - 2026)
Artelo Biosciences' Total Liabilities came in at $5.85 million for Q1 2026, up 104.2% from $2.86 million a year earlier and up 43.5% from the prior quarter.
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Analysis
Artelo Biosciences (ARTL) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Artelo Biosciences' Total Liabilities was $4.07 million, up 121.2% from FY2024.
- 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 Q1 2026 figure represents the highest quarterly Total Liabilities in data going back to Q2 2015.
- Year-over-year, Total Liabilities has increased for six consecutive quarters, with growth averaging 195.6% 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 Q3 2024 (a decline of 15.9%).
- Business Quant data shows ARTL's Total Liabilities at $4.07 million (Q4 2025), $4.9 million (Q3 2025) and $5.76 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Artelo Biosciences | 49.32 Mn | 32.53 Mn | - | 1.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Mn |
| Mar 31, 2026 | 5.85 Mn |
| 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 |
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();