Biogen (BIIB) Return on Sales [ROS] (2009 - 2026)
Biogen's Return on Sales [ROS] came in at -23.56% for Q2 2026, down 28.81 percentage points from 5.25% a year earlier and down 12.12 percentage points from the prior quarter.
Biogen (BIIB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Biogen reported Return on Sales [ROS] of -15.92%, down 9.33 percentage points year-over-year; for FY2025, it was -8.57%, down 4.39 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -42.41 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -4.18% in FY2024 (+8.39 pp), -12.57% in FY2023 (-25.48 pp), 12.91% in FY2022 (-12.96 pp) and 25.87% in FY2021 (-7.98 pp).
- The five-year range for quarterly Return on Sales [ROS] is -31.65% (Q3 2023) to 35.94% (Q3 2022).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -2.66 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 33.07 percentage points), and the weakest in Q3 2023 (a drop of 67.59 percentage points).
- Business Quant data shows BIIB's Return on Sales [ROS] at -11.43% (Q1 2026), -24.19% (Q4 2025) and -4.62% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Biogen | 32.49 Bn | 19.14 Bn | 1.96 Bn | -23.56% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -23.56% |
| Mar 31, 2026 | -11.43% |
| Dec 31, 2025 | -24.19% |
| Sep 30, 2025 | -4.62% |
| Jun 30, 2025 | 5.25% |
| Mar 31, 2025 | -13.09% |
| Dec 31, 2024 | -11.90% |
| Sep 30, 2024 | -7.61% |
| Jun 30, 2024 | 6.19% |
| Mar 31, 2024 | -3.38% |
| Dec 31, 2023 | -13.69% |
| Sep 30, 2023 | -31.65% |
| Jun 30, 2023 | 4.70% |
| Mar 31, 2023 | -9.11% |
| Dec 31, 2022 | 1.29% |
| Sep 30, 2022 | 35.94% |
| Jun 30, 2022 | 30.34% |
| Mar 31, 2022 | 24.12% |
| Dec 31, 2021 | 21.48% |
| Sep 30, 2021 | 28.57% |
Biogen 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=BIIB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BIIB", "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=BIIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();