Emergent BioSolutions (EBS) Selling, General & Administrative (2011 - 2026)
Emergent BioSolutions (EBS) reported Selling, General & Administrative of $44.6 million for Q2 2026, up 2.1% from $43.7 million a year earlier but down 4.3% from the prior quarter.
Emergent BioSolutions (EBS) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Emergent BioSolutions' Selling, General & Administrative came in at $181.2 million, down 22.4% year-over-year; for FY2025, it came in at $186.1 million, down 39.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $308 million in FY2024 (-16.4%), $368.4 million in FY2023 (+8.5%), $339.5 million in FY2022 (-2.6%) and $348.7 million in FY2021 (+14.7%).
- Five-year quarterly Selling, General & Administrative spans a low of $38.9 million in Q3 2025 and a high of $101.3 million in Q1 2023.
- Year over year, Selling, General & Administrative gained in 1 of the last eight quarters, with an average decline of 25.6%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2023 (growth of 19.5%); the low point was Q3 2025 (a decline of 49.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $46.6 million (Q1 2026), $51.1 million (Q4 2025) and $38.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Emergent BioSolutions | 319.92 Mn | -430.98 Mn | 137.20 Mn | 44.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.60 Mn |
| Mar 31, 2026 | 46.60 Mn |
| Dec 31, 2025 | 51.10 Mn |
| Sep 30, 2025 | 38.90 Mn |
| Jun 30, 2025 | 43.70 Mn |
| Mar 31, 2025 | 52.40 Mn |
| Dec 31, 2024 | 60.80 Mn |
| Sep 30, 2024 | 76.60 Mn |
| Jun 30, 2024 | 85.90 Mn |
| Mar 31, 2024 | 84.70 Mn |
| Dec 31, 2023 | 89.70 Mn |
| Sep 30, 2023 | 86.00 Mn |
| Jun 30, 2023 | 91.40 Mn |
| Mar 31, 2023 | 101.30 Mn |
| Dec 31, 2022 | 93.40 Mn |
| Sep 30, 2022 | 81.80 Mn |
| Jun 30, 2022 | 81.10 Mn |
| Mar 31, 2022 | 84.80 Mn |
| Dec 31, 2021 | 94.50 Mn |
| Sep 30, 2021 | 82.10 Mn |
Emergent BioSolutions Selling, General & Administrative 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=selling-general-and-administrative&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();