EyePoint (EYPT) Exchange Rate Effect (2010 - 2019)
EyePoint (EYPT) recorded Exchange Rate Effect of $1,000 in Q4 2019, compared with -$5,000 a year earlier.
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Analysis
EyePoint (EYPT) Exchange Rate Effect (2010 - 2019) Analysis & Trends
- Across earlier years, Exchange Rate Effect came in at -$1,000 in FY2018, -$5,000 in FY2017, -$20,000 in FY2016 and -$12,000 in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 56.00 Mn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 10.00 Mn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | -6.00 Mn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | -46.00 Mn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -7.00 Mn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | -4.00 Mn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 1.00 Mn |
| 10 | EyePoint | 31.41 Mn | -881.72 Mn | 507,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 1,000.00 |
| Dec 31, 2018 | -5,000.00 |
| Dec 31, 2017 | 4,000.00 |
| Sep 30, 2017 | 4,000.00 |
| Jun 30, 2017 | 6,000.00 |
| Mar 31, 2017 | -1,000.00 |
| Dec 31, 2016 | -2,000.00 |
| Sep 30, 2016 | -8,000.00 |
| Jun 30, 2016 | -8,000.00 |
| Mar 31, 2016 | -4,000.00 |
| Dec 31, 2015 | -5,000.00 |
| Sep 30, 2015 | -3,000.00 |
| Jun 30, 2015 | 5,000.00 |
| Mar 31, 2015 | -7,000.00 |
| Dec 31, 2014 | -5,000.00 |
| Sep 30, 2014 | -5,000.00 |
| Jun 30, 2014 | -1,000.00 |
| Mar 31, 2014 | -5,000.00 |
| Dec 31, 2013 | 1,000.00 |
| Sep 30, 2013 | 1,000.00 |
API Access
EyePoint Exchange Rate Effect 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=exchange-rate-effect&ticker=EYPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "EYPT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=EYPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();