Artelo Biosciences (ARTL) Non Operating Interest Expenses (2017 - 2026)
Artelo Biosciences' Non Operating Interest Expenses was $100,000 in Q1 2026, up 809.1% from the prior quarter.
Artelo Biosciences (ARTL) Non Operating Interest Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Artelo Biosciences' Non Operating Interest Expenses was $294,000 through Mar 31, 2026; for FY2025, it was $194,000.
- Non Operating Interest Expenses shows a three-year compound annual growth rate of 238.5% (FY2022 to FY2025).
- In earlier years, Non Operating Interest Expenses was $5,000 in FY2022.
- Quarterly Non Operating Interest Expenses has moved between $5,000 (Q3 2022) and $111,000 (Q3 2025) over five years.
- Per Business Quant data, ARTL's Non Operating Interest Expenses in the three quarters before Q1 2026 was $11,000 (Q4 2025), $111,000 (Q3 2025) and $72,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Artelo Biosciences | 49.32 Mn | 32.53 Mn | - | -6,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6,000.00 |
| Mar 31, 2026 | 100,000.00 |
| Dec 31, 2025 | 11,000.00 |
| Sep 30, 2025 | 111,000.00 |
| Jun 30, 2025 | 72,000.00 |
| Sep 30, 2022 | 5,000.00 |
| Nov 30, 2019 | 586,000.00 |
| Aug 31, 2017 | 177.00 |
| May 31, 2017 | 907.00 |
| Feb 28, 2017 | 1,016.00 |
Artelo Biosciences Non Operating Interest Expenses 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-operating-interest-expenses&ticker=ARTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=ARTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();