Emergent BioSolutions (EBS) Exchange Rate Effect (2010 - 2025)
Emergent BioSolutions (EBS) posted Exchange Rate Effect of $100,000 for FY2025.
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Analysis
Emergent BioSolutions (EBS) Exchange Rate Effect (2010 - 2025) Analysis & Trends
Since FY2009, Emergent BioSolutions has reported Exchange Rate Effect for 15 years.
- The FY2025 figure stands as the highest annual Exchange Rate Effect since FY2022.
- Business Quant data shows EBS's Exchange Rate Effect at -$1.2 million in FY2023, $500,000 in FY2022 and -$300,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,159.18 Bn | 1,127.77 Bn | 19.71 Bn | -52.00 Mn |
| 2 | Johnson & Johnson | 624.72 Bn | 543.25 Bn | 17.26 Bn | 5.00 Mn |
| 3 | AbbVie | 511.45 Bn | 484.56 Bn | 12.70 Bn | -7.00 Mn |
| 4 | Merck | 366.25 Bn | 320.63 Bn | 12.21 Bn | -37.00 Mn |
| 5 | Novartis Ag | 297.73 Bn | 261.72 Bn | 11.24 Bn | -18.00 Mn |
| 6 | Astrazeneca | 261.55 Bn | 235.23 Bn | 12.86 Bn | 9.00 Mn |
| 7 | Amgen | 234.97 Bn | 190.37 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.23 Bn | 168.43 Bn | 6.22 Bn | -19.00 Mn |
| 9 | Pfizer | 171.56 Bn | 118.20 Bn | 10.94 Bn | -4.00 Mn |
| 10 | Emergent BioSolutions | 317.73 Mn | -433.17 Mn | 137.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -200,000.00 |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | -700,000.00 |
| Dec 31, 2023 | -1.50 Mn |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | -600,000.00 |
| Mar 31, 2023 | -200,000.00 |
| Dec 31, 2022 | 1.10 Mn |
| Sep 30, 2022 | -1.00 Mn |
| Jun 30, 2022 | 700,000.00 |
| Mar 31, 2022 | -300,000.00 |
| Sep 30, 2021 | -200,000.00 |
| Jun 30, 2021 | 200,000.00 |
| Mar 31, 2021 | -300,000.00 |
| Dec 31, 2020 | -500,000.00 |
| Sep 30, 2020 | -400,000.00 |
| Jun 30, 2020 | -200,000.00 |
| Mar 31, 2020 | 100,000.00 |
| Dec 31, 2019 | 500,000.00 |
| Sep 30, 2019 | -100,000.00 |
API Access
Emergent BioSolutions 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=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "EBS", "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=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();