Emergent BioSolutions (EBS) Return on Sales [ROS] (2011 - 2026)
Emergent BioSolutions (EBS) recorded Return on Sales [ROS] of -53.39% in Q2 2026, down 54.53 percentage points from 1.14% a year earlier and down 60.12 percentage points from the prior quarter.
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Analysis
Emergent BioSolutions (EBS) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
On a TTM basis, Emergent BioSolutions' Return on Sales [ROS] came in at -8.57% as of Jun 30, 2026, down 21.08 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).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of +17.46 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 6.73% (Q1 2026), -18.76% (Q4 2025) and 33.10% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 28.37% |
| 10 | Emergent BioSolutions | 325.34 Mn | -425.56 Mn | 137.20 Mn | -53.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -15.61% |
API Access
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_KEYimport 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();