Palatin Technologies (PTN) EV to EBIT (2017 - 2020)
Palatin Technologies' EV to EBIT was 3343.49 in fiscal Q3 2020 (quarter ended Mar 31, 2020), down 46.2% from the prior quarter.
Palatin Technologies (PTN) EV to EBIT (2017 - 2020) Analysis & Trends
On a trailing twelve-month basis, Palatin Technologies' EV to EBIT was 3337.05 through Mar 31, 2020; for FY2019 (ended Jun 30, 2019), it was 9199.75, down 1.9% from FY2018.
- In earlier fiscal years, EV to EBIT was 9377.79 in FY2018 (+181.9%) and 3326.19 in FY2017.
- The fiscal Q3 2020 figure marks the lowest quarterly EV to EBIT since fiscal Q1 2018.
- Compared with a year earlier, EV to EBIT was higher in two of the last five quarters, with growth averaging 164.4%.
- Per Business Quant data, PTN's EV to EBIT in the three fiscal quarters before Q3 2020 was 6218.15 (Q2 2020), 7091.35 (Q1 2020) and 9199.75 (Q4 2019).
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
| Date | Value |
|---|---|
| Mar 31, 2020 | 3,343.49 |
| Dec 31, 2019 | 6,218.15 |
| Sep 30, 2019 | 7,091.35 |
| Jun 30, 2019 | 9,199.75 |
| Dec 31, 2018 | 167,988.12 |
| Sep 30, 2018 | 27,996.32 |
| Jun 30, 2018 | 9,377.79 |
| Mar 31, 2018 | 4,130.62 |
| Dec 31, 2017 | 3,388.17 |
| Sep 30, 2017 | 3,066.48 |
| Jun 30, 2017 | 3,326.19 |
Palatin Technologies EV to EBIT 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-ebit&ticker=PTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=PTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();