MetaVia (MTVA) Exchange Rate Effect (2019 - 2022)
MetaVia's Exchange Rate Effect was -$1,000 in Q1 2022, compared with -$5,000 a year earlier.
Analysis
MetaVia (MTVA) Exchange Rate Effect (2019 - 2022) Analysis & Trends
On a trailing twelve-month basis, MetaVia's Exchange Rate Effect was -$4,000 through Mar 31, 2022; for FY2021, it was -$8,000.
- In earlier years, Exchange Rate Effect was $3,000 in FY2020 (-57.1%), $7,000 in FY2019 (+133.3%) and $3,000 in FY2018.
- Quarterly Exchange Rate Effect has moved between -$22,000 (Q1 2020) and $14,000 (Q4 2019) over five years.
- Per Business Quant data, MTVA's Exchange Rate Effect in the three quarters before Q1 2022 was -$1,000 (Q4 2021), $2,000 (Q3 2021) and -$4,000 (Q2 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 9.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -19.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -4.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | -3.70 Mn |
| 10 | MetaVia | 10.98 Mn | -43.83 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -1,000.00 |
| Dec 31, 2021 | -1,000.00 |
| Sep 30, 2021 | 2,000.00 |
| Jun 30, 2021 | -4,000.00 |
| Mar 31, 2021 | -5,000.00 |
| Dec 31, 2020 | 13,000.00 |
| Sep 30, 2020 | 9,000.00 |
| Jun 30, 2020 | 3,000.00 |
| Mar 31, 2020 | -22,000.00 |
| Dec 31, 2019 | 14,000.00 |
| Sep 30, 2019 | -16,000.00 |
| Jun 30, 2019 | 12,000.00 |
| Mar 31, 2019 | -3,000.00 |
API Access
MetaVia 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=MTVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MTVA", "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=MTVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();