Emergent BioSolutions (EBS) Other Accumulated Expenses (2018 - 2026)
Emergent BioSolutions (EBS) recorded Other Accumulated Expenses of $9.9 million in Q2 2026, down 27.2% from $13.6 million a year earlier but up 23.8% from the prior quarter.
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Analysis
Emergent BioSolutions (EBS) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Emergent BioSolutions reported Other Accumulated Expenses of $10.8 million, down 50.7% from FY2024.
- Annual Other Accumulated Expenses has declined for five straight years, with a five-year compound annual growth rate of -33.5% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $21.9 million in FY2024 (-33.0%), $32.7 million in FY2023 (-28.8%), $45.9 million in FY2022 (-37.2%) and $73.1 million in FY2021 (-12.0%).
- Quarterly Other Accumulated Expenses has ranged from $8 million in Q1 2026 to $82.3 million in Q3 2021 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has declined for seven consecutive quarters, with an average decline of 19.6% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 77.0% in Q3 2024, against a decline of 79.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $8 million (Q1 2026), $10.8 million (Q4 2025) and $24.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,141.09 Bn | 1,109.67 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 635.15 Bn | 555.01 Bn | 17.30 Bn |
| 3 | AbbVie | 501.95 Bn | 475.07 Bn | 12.70 Bn |
| 4 | Merck | 356.40 Bn | 310.78 Bn | 12.21 Bn |
| 5 | Novartis Ag | 300.55 Bn | 264.54 Bn | 11.24 Bn |
| 6 | Astrazeneca | 263.27 Bn | 236.95 Bn | 12.86 Bn |
| 7 | Amgen | 237.82 Bn | 193.22 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.11 Bn | 168.30 Bn | 6.22 Bn |
| 9 | Pfizer | 170.27 Bn | 116.91 Bn | 10.94 Bn |
| 10 | Emergent BioSolutions | 314.50 Mn | -436.40 Mn | 137.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.90 Mn |
| Mar 31, 2026 | 8.00 Mn |
| Dec 31, 2025 | 10.80 Mn |
| Sep 30, 2025 | 24.10 Mn |
| Jun 30, 2025 | 13.60 Mn |
| Mar 31, 2025 | 11.10 Mn |
| Dec 31, 2024 | 21.90 Mn |
| Sep 30, 2024 | 67.60 Mn |
| Jun 30, 2024 | 14.60 Mn |
| Mar 31, 2024 | 14.50 Mn |
| Dec 31, 2023 | 32.70 Mn |
| Sep 30, 2023 | 38.20 Mn |
| Jun 30, 2023 | 28.90 Mn |
| Mar 31, 2023 | 25.20 Mn |
| Dec 31, 2022 | 45.90 Mn |
| Sep 30, 2022 | 24.00 Mn |
| Jun 30, 2022 | 24.20 Mn |
| Mar 31, 2022 | 24.60 Mn |
| Dec 31, 2021 | 73.10 Mn |
| Sep 30, 2021 | 82.30 Mn |
API Access
Emergent BioSolutions Other Accumulated Expenses 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=other-accumulated-expenses&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();