Emergent BioSolutions (EBS) Exchange Rate Effect (2010 - 2025)
Emergent BioSolutions (EBS) posted Exchange Rate Effect of -$200000.0 for Q3 2025, down 120.0% on a QoQ basis from $1.0 million in Q2 2025.
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Analysis
Emergent BioSolutions (EBS) Exchange Rate Effect (2010 - 2025) Analysis & Trends
Emergent BioSolutions has reported Exchange Rate Effect for 15 years, with the latest figure at -$200000.0 in Q3 2025.
- On a quarterly basis, Exchange Rate Effect changed N/A year-over-year to -$200000.0 in Q3 2025; TTM through Jun 2026 was -$200000.0, a 166.67% decrease from a year earlier, with the FY2025 full-year figure at $100000.0, changed N/A from the prior year.
- Exchange Rate Effect was -$200000.0 for Q3 2025 at Emergent BioSolutions, down from $1.0 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $1.1 million in Q4 2022, with the low at -$6.1 million in Q4 2021.
- Average Exchange Rate Effect over 4 years is -$466666.7, with a median of -$200000.0 recorded in 2021.
- The sharpest annual moves came in 2021 and 2022: Exchange Rate Effect slumped 1120.0% in 2021, then surged 250.0% in 2022.
- Over 4 years, Exchange Rate Effect stood at -$6.1 million in 2021, then jumped by 118.03% to $1.1 million in 2022, then sank by 236.36% to -$1.5 million in 2023, then surged by 86.67% to -$200000.0 in 2025.
- The last three Exchange Rate Effect figures came in at -$200000.0 (Q3 2025), $1.0 million (Q2 2025), and -$700000.0 (Q1 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.47 Bn | 628.71 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 467.46 Bn | 460.93 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 369.31 Bn | 362.22 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 269.03 Bn | 261.74 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Pfizer | 158.11 Bn | 146.71 Bn | 10.94 Bn | -4.00 Mn |
| 6 | Bristol Myers Squibb | 127.96 Bn | 116.89 Bn | 9.25 Bn | -10.00 Mn |
| 7 | Sanofi | 51.83 Bn | 44.86 Bn | 10.79 Bn | 11.62 Mn |
| 8 | BeOne Medicines | 41.33 Bn | 36.23 Bn | 1.53 Bn | 19.84 Mn |
| 9 | Revolution Medicines | 41.30 Bn | 41.30 Bn | - | - |
| 10 | Emergent BioSolutions | 335.50 Mn | 194.60 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 |
| Dec 31, 2021 | -6.10 Mn |
| 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 |
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();