Artelo Biosciences (ARTL) Operating Expenses (2014 - 2025)
Artelo Biosciences (ARTL) recorded Operating Expenses of $2.79 million in Q4 2025, down 26.9% from $3.81 million a year earlier and down 9.8% from the prior quarter.
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Analysis
Artelo Biosciences (ARTL) Operating Expenses (2014 - 2025) Analysis & Trends
For FY2025, Artelo Biosciences reported Operating Expenses of $11.4 million, up 12.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $10.11 million in FY2024 (+1.8%), $9.93 million in FY2023 (-3.5%), $10.29 million in FY2022 (+9.2%) and $9.42 million in FY2021.
- Quarterly Operating Expenses has ranged from $1.2 million in Q3 2024 to $3.81 million in Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 20.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 158.5% in Q3 2025, against a decline of 54.3% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.09 million (Q3 2025), $3.15 million (Q2 2025) and $2.38 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Artelo Biosciences | 81,090.68 | -5.05 Mn | - | 2.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.79 Mn |
| Sep 30, 2025 | 3.09 Mn |
| Jun 30, 2025 | 3.15 Mn |
| Mar 31, 2025 | 2.38 Mn |
| Dec 31, 2024 | 3.81 Mn |
| Sep 30, 2024 | 1.20 Mn |
| Jun 30, 2024 | 2.51 Mn |
| Mar 31, 2024 | 2.59 Mn |
| Dec 31, 2023 | 3.24 Mn |
| Sep 30, 2023 | 2.61 Mn |
| Jun 30, 2023 | 1.78 Mn |
| Mar 31, 2023 | 2.29 Mn |
| Dec 31, 2022 | 3.48 Mn |
| Sep 30, 2022 | 2.39 Mn |
| Jun 30, 2022 | 2.47 Mn |
| Mar 31, 2022 | 1.95 Mn |
| Nov 30, 2021 | 2.55 Mn |
| May 31, 2021 | 2.25 Mn |
| Feb 28, 2021 | 1.87 Mn |
| Nov 30, 2020 | 1.44 Mn |
API Access
Artelo Biosciences Operating 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=operating-expenses&ticker=ARTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ARTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();