Artelo Biosciences (ARTL) Return on Assets [ROA] (2015 - 2026)
Artelo Biosciences (ARTL) recorded Return on Assets [ROA] of -156.68% in Q1 2026, up 84.18 percentage points from -240.86% a year earlier and up 171.13 percentage points from the prior quarter.
Artelo Biosciences (ARTL) Return on Assets [ROA] (2015 - 2026) Analysis & Trends
For FY2025, Artelo Biosciences reported Return on Assets [ROA] of -309.32%, down 195.37 percentage points from FY2024.
- Annual Return on Assets [ROA] has declined for three straight years, with a five-year change of -223.03 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at -113.95% in FY2024 (-54.61 pp), -59.34% in FY2023 (-17.06 pp), -42.28% in FY2022 (+3.77 pp) and -46.05% in FY2021.
- The Q1 2026 figure is the highest quarterly Return on Assets [ROA] since Q3 2024.
- On a year-over-year basis, Return on Assets [ROA] rose in 1 of the last eight quarters, with an average year-over-year change of -96.24 percentage points.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 84.18 percentage points in Q1 2026, against a drop of 168.86 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -327.82% (Q4 2025), -292.21% (Q3 2025) and -269.31% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 19.00% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 8.08% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 7.32% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.87% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.36% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 9.80% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -7.67% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 2.00% |
| 10 | Artelo Biosciences | 49.32 Mn | 32.53 Mn | - | -132.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -132.98% |
| Mar 31, 2026 | -176.04% |
| Dec 31, 2025 | -366.41% |
| Sep 30, 2025 | -291.05% |
| Jun 30, 2025 | -269.18% |
| Mar 31, 2025 | -237.16% |
| Dec 31, 2024 | -166.05% |
| Sep 30, 2024 | -118.23% |
| Jun 30, 2024 | -111.78% |
| Mar 31, 2024 | -82.08% |
| Dec 31, 2023 | -64.73% |
| Sep 30, 2023 | -57.86% |
| Jun 30, 2023 | -53.52% |
| Mar 31, 2023 | -53.61% |
| Dec 31, 2022 | -48.18% |
| Sep 30, 2022 | -41.45% |
| Jun 30, 2022 | -32.96% |
| Mar 31, 2022 | -29.12% |
| Nov 30, 2021 | -38.26% |
| Aug 31, 2021 | -54.68% |
Artelo Biosciences Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=ARTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=ARTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();