Emergent BioSolutions (EBS) Return on Sales [ROS] (2009 - 2026)
Emergent BioSolutions (EBS) recorded Return on Sales [ROS] of -33.91% in Q3 2026, down 67.01 percentage points from 33.10% a year earlier but up 19.48 percentage points from the prior quarter.
Emergent BioSolutions (EBS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Emergent BioSolutions' Return on Sales [ROS] came in at -27.70% as of Sep 30, 2026, down 42.72 percentage points year-over-year; for FY2025, it was 13.47%, up 23.89 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -14.33 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -10.42% in FY2024 (+58.81 pp), -69.23% in FY2023 (-54.01 pp), -15.21% in FY2022 (-34.46 pp) and 19.25% in FY2021 (-8.55 pp).
- Quarterly Return on Sales [ROS] has ranged from -89.84% in Q1 2023 to 39.13% in Q4 2021 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -4.85 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 111.45 percentage points in Q3 2024, against a drop of 92.10 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -53.39% (Q2 2026), 6.73% (Q1 2026) and -18.76% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Emergent BioSolutions | 309.85 Mn | -371.25 Mn | 29.20 Mn | -33.91% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -33.91% |
| Jun 30, 2026 | -53.39% |
| Mar 31, 2026 | 6.73% |
| Dec 31, 2025 | -18.76% |
| Sep 30, 2025 | 33.10% |
| Jun 30, 2025 | 1.14% |
| Mar 31, 2025 | 22.46% |
| Dec 31, 2024 | -4.88% |
| Sep 30, 2024 | 21.95% |
| Jun 30, 2024 | -79.90% |
| Mar 31, 2024 | 13.25% |
| Dec 31, 2023 | -15.84% |
| Sep 30, 2023 | -89.50% |
| Jun 30, 2023 | -86.68% |
| Mar 31, 2023 | -89.84% |
| Dec 31, 2022 | -16.75% |
| Sep 30, 2022 | -18.88% |
| Jun 30, 2022 | -31.45% |
| Mar 31, 2022 | 2.26% |
| Dec 31, 2021 | 39.13% |
Emergent BioSolutions Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();