Artelo Biosciences (ARTL) Total Current Liabilities (2015 - 2026)
Artelo Biosciences (ARTL) recorded Total Current Liabilities of $5.83 million in Q1 2026, up 107.8% from $2.8 million a year earlier and up 44.1% from the prior quarter.
Artelo Biosciences (ARTL) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Artelo Biosciences reported Total Current Liabilities of $4.04 million, up 128.2% from FY2024.
- Annual Total Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 51.8% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $1.77 million in FY2024 (+37.3%), $1.29 million in FY2023 (+29.4%), $998,000 in FY2022 (-2.8%) and $1.03 million in FY2021.
- The Q1 2026 figure is the highest quarterly Total Current Liabilities in data going back to Q2 2015.
- On a year-over-year basis, Total Current Liabilities has increased for six consecutive quarters, with growth averaging 212.3% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 597.3% in Q3 2025, against a decline of 24.3% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.04 million (Q4 2025), $4.86 million (Q3 2025) and $5.71 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Artelo Biosciences | 49.32 Mn | 32.53 Mn | - | 1.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Mn |
| Mar 31, 2026 | 5.83 Mn |
| Dec 31, 2025 | 4.04 Mn |
| Sep 30, 2025 | 4.86 Mn |
| Jun 30, 2025 | 5.71 Mn |
| Mar 31, 2025 | 2.80 Mn |
| Dec 31, 2024 | 1.77 Mn |
| Sep 30, 2024 | 697,000.00 |
| Jun 30, 2024 | 940,000.00 |
| Mar 31, 2024 | 721,000.00 |
| Dec 31, 2023 | 1.29 Mn |
| Sep 30, 2023 | 921,000.00 |
| Jun 30, 2023 | 603,000.00 |
| Mar 31, 2023 | 825,000.00 |
| Dec 31, 2022 | 998,000.00 |
| Sep 30, 2022 | 480,000.00 |
| Jun 30, 2022 | 527,000.00 |
| Mar 31, 2022 | 875,000.00 |
| Nov 30, 2021 | 659,000.00 |
| Aug 31, 2021 | 526,000.00 |
Artelo Biosciences Total 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-current-liabilities&ticker=ARTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=ARTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();