Artelo Biosciences (ARTL) Non Operating Interest Expenses (2017 - 2025)
Artelo Biosciences' Non Operating Interest Expenses was $11,000 in Q4 2025, down 90.1% from the prior quarter.
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Analysis
Artelo Biosciences (ARTL) Non Operating Interest Expenses (2017 - 2025) Analysis & Trends
For FY2025, Non Operating Interest Expenses at Artelo Biosciences came in at $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.
- The Q4 2025 figure marks the lowest quarterly Non Operating Interest Expenses since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | - |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -462.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -435.00 Mn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Artelo Biosciences | 76,308.92 | -5.06 Mn | - | 11,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 11,000.00 |
| Sep 30, 2025 | 111,000.00 |
| Jun 30, 2025 | 72,000.00 |
| Sep 30, 2022 | 5,000.00 |
| Aug 31, 2017 | 177.00 |
| May 31, 2017 | 907.00 |
| Feb 28, 2017 | 1,016.00 |
API Access
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_KEYimport 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();