Palatin Technologies (PTN) EV to EBITDA (2017 - 2020)
Palatin Technologies' (PTN) EV to EBITDA came in at 3337.38 for fiscal Q3 2020 (quarter ended Mar 31, 2020), down 46.2% from the prior quarter.
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Analysis
Palatin Technologies (PTN) EV to EBITDA (2017 - 2020) Analysis & Trends
For the trailing twelve months through Mar 31, 2020, EV to EBITDA at Palatin Technologies was 3330.95; for FY2019 (ended Jun 30, 2019), it came in at 9184.68, down 1.8% from FY2018.
- In prior fiscal years, Palatin Technologies' EV to EBITDA was 9357.38 in FY2018 (+181.7%) and 3321.96 in FY2017.
- The fiscal Q3 2020 figure stands as the lowest quarterly EV to EBITDA since fiscal Q1 2018.
- On a year-over-year basis, EV to EBITDA increased in two of the last five quarters, with growth averaging 163.5%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 6206.53 (Q2 2020), 7079.16 (Q1 2020) and 9184.68 (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn |
| 10 | Palatin Technologies | 19.54 Mn | -13.86 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 3,336.97 |
| Dec 31, 2019 | 6,204.43 |
| Sep 30, 2019 | 7,073.73 |
| Jun 30, 2019 | 9,171.56 |
| Dec 31, 2018 | 145,426.69 |
| Sep 30, 2018 | 27,395.19 |
| Jun 30, 2018 | 9,294.60 |
| Mar 31, 2018 | 4,113.95 |
| Dec 31, 2017 | 3,372.45 |
| Sep 30, 2017 | 3,047.26 |
| Jun 30, 2017 | 3,284.16 |
API Access
Palatin Technologies EV to 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=ev-to-ebitda&ticker=PTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "PTN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=PTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();