iBio (IBIO) Exchange Rate Effect (2014 - 2019)
iBio's Exchange Rate Effect was $33,000 in FY2023 (year ended Jun 30, 2023).
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Analysis
iBio (IBIO) Exchange Rate Effect (2014 - 2019) Analysis & Trends
From FY2015 onward, iBio has reported Exchange Rate Effect for 7 fiscal years.
- The FY2023 figure marks the highest annual Exchange Rate Effect in data going back to FY2015.
- Per Business Quant data, Exchange Rate Effect in earlier fiscal years was -$1,000 in FY2021, -$2,000 in FY2020 and -$1,000 in FY2019.
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 | iBio | 121.75 Mn | 121.75 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | -1,000.00 |
| Jun 30, 2019 | -1,000.00 |
| Jun 30, 2018 | 1,000.00 |
| Jun 30, 2016 | 1,000.00 |
| Mar 31, 2016 | 1,000.00 |
| Dec 31, 2015 | 2,000.00 |
| Sep 30, 2015 | -8,000.00 |
| Jun 30, 2015 | -14,000.00 |
| Mar 31, 2015 | 4,000.00 |
| Dec 31, 2014 | -10,000.00 |
| Sep 30, 2014 | -3,000.00 |
API Access
iBio 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=IBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "IBIO", "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=IBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();