Emergent BioSolutions (EBS) Change in Taxes (2022 - 2026)
Emergent BioSolutions (EBS) posted Change in Taxes of -$300000.0 for Q2 2026, down 106.52% on a QoQ basis from $4.6 million in Q1 2026, and down 104.41% year-over-year from $6.8 million in Q2 2025.
Emergent BioSolutions (EBS) Change in Taxes (2022 - 2026) Analysis & Trends
Emergent BioSolutions has reported Change in Taxes for 5 years, with the latest figure at -$300000.0 in Q2 2026.
- On a quarterly basis, Change in Taxes fell 104.41% year-over-year to -$300000.0 in Q2 2026; TTM through Jun 2026 was $4.2 million, a 25.0% decrease from a year earlier, with the FY2025 full-year figure at -$1.7 million, down 107.3% from the prior year.
- Change in Taxes was -$300000.0 for Q2 2026 at Emergent BioSolutions, down from $4.6 million in the prior quarter.
- The five-year high for Change in Taxes was $79.7 million in Q4 2022, with the low at -$40.9 million in Q2 2022.
- Average Change in Taxes over 5 years is $2.3 million, with a median of -$300000.0 recorded in 2026.
- The largest YoY upside for Change in Taxes was 334.55% in 2023 against a maximum downside of 284.78% in 2023.
- Over 5 years, Change in Taxes stood at $79.7 million in 2022, then sank by 115.93% to -$12.7 million in 2023, then jumped by 74.02% to -$3.3 million in 2024, then sank by 90.91% to -$6.3 million in 2025, then surged by 95.24% to -$300000.0 in 2026.
- The last three Change in Taxes figures came in at -$300000.0 (Q2 2026), $4.6 million (Q1 2026), and -$6.3 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.47 Bn | 628.71 Bn | 17.26 Bn | - |
| 2 | AbbVie | 467.46 Bn | 460.93 Bn | 12.70 Bn | -2.22 Bn |
| 3 | Merck | 369.31 Bn | 362.22 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 269.03 Bn | 261.74 Bn | 11.24 Bn | -398.00 Mn |
| 5 | Pfizer | 158.11 Bn | 146.71 Bn | 10.94 Bn | - |
| 6 | Bristol Myers Squibb | 127.96 Bn | 116.89 Bn | 9.25 Bn | -522.00 Mn |
| 7 | Sanofi | 51.83 Bn | 44.86 Bn | 10.79 Bn | - |
| 8 | BeOne Medicines | 41.33 Bn | 36.23 Bn | 1.53 Bn | - |
| 9 | Revolution Medicines | 41.30 Bn | 41.30 Bn | - | - |
| 10 | Emergent BioSolutions | 335.50 Mn | 194.60 Mn | 137.20 Mn | -300,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -300,000.00 |
| Mar 31, 2026 | 4.60 Mn |
| Dec 31, 2025 | -6.30 Mn |
| Sep 30, 2025 | 6.20 Mn |
| Jun 30, 2025 | 6.80 Mn |
| Mar 31, 2025 | -8.40 Mn |
| Dec 31, 2024 | -3.30 Mn |
| Sep 30, 2024 | 10.50 Mn |
| Mar 31, 2024 | 16.10 Mn |
| Dec 31, 2023 | -12.70 Mn |
| Sep 30, 2023 | -17.70 Mn |
| Jun 30, 2023 | 1.30 Mn |
| Mar 31, 2023 | 12.90 Mn |
| Dec 31, 2022 | 79.70 Mn |
| Sep 30, 2022 | -4.60 Mn |
| Jun 30, 2022 | -40.90 Mn |
| Mar 31, 2022 | -5.50 Mn |
Emergent BioSolutions Change in Taxes 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=change-in-taxes&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();