Artelo Biosciences (ARTL) EBITDA (2017 - 2021)
Artelo Biosciences (ARTL) posted EBITDA of -$2.25 million for Q3 2021, compared with -$951,271 a year earlier.
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Analysis
Artelo Biosciences (ARTL) EBITDA (2017 - 2021) Analysis & Trends
For the trailing twelve months through May 31, 2021, EBITDA at Artelo Biosciences was -$6.58 million; for FY2020, it came in at -$4.69 million.
- In prior years, Artelo Biosciences' EBITDA was -$3.21 million in FY2019 and -$2.34 million in FY2018.
- The Q3 2021 figure stands as the lowest quarterly EBITDA in data going back to Q1 2018.
- According to Business Quant data, EBITDA for the three prior quarters was -$1.87 million (Q2 2021), -$1.44 million (Q1 2021) and -$1.03 million (Q4 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Artelo Biosciences | 52,106.49 | -5.08 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2021 | -2.25 Mn |
| Feb 28, 2021 | -1.87 Mn |
| Nov 30, 2020 | -1.44 Mn |
| Aug 31, 2020 | -1.03 Mn |
| May 31, 2020 | -951,271.00 |
| Feb 29, 2020 | -1.37 Mn |
| Nov 30, 2019 | -1.34 Mn |
| Aug 31, 2019 | -953,294.00 |
| May 31, 2019 | -941,045.00 |
| Feb 28, 2019 | -757,849.00 |
| Nov 30, 2018 | -556,833.00 |
| Aug 31, 2018 | -690,080.00 |
| May 31, 2018 | -577,784.00 |
| Feb 28, 2018 | -798,390.00 |
| Nov 30, 2017 | -276,985.00 |
API Access
Artelo Biosciences EBITDA 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=ebitda&ticker=ARTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ARTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();