Alvotech (ALVO) Return on Sales [ROS] (2022 - 2026)
Alvotech's Return on Sales [ROS] came in at -134.08% for Q2 2026, down 124.85 percentage points from -9.22% a year earlier and down 152.98 percentage points from the prior quarter.
Alvotech (ALVO) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alvotech reported Return on Sales [ROS] of -60.17%, down 55.01 percentage points year-over-year; for FY2025, it came in at 28.31%, up 133.33 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +234.77 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -105.02% in FY2024 (+623.66 pp), -728.68% in FY2023 (+666.24 pp) and -1394.92% in FY2022.
- The five-year range for quarterly Return on Sales [ROS] is -5177.62% (Q3 2022) to 2170.00% (Q2 2023).
- Year-over-year, Return on Sales [ROS] increased in four of the last seven quarters, with an average year-over-year change of +161.11 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 4345.13 percentage points), and the weakest in Q2 2024 (a drop of 2438.13 percentage points).
- Business Quant data shows ALVO's Return on Sales [ROS] at 18.90% (Q1 2026), 36.19% (Q4 2025) and -929.24% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 32.98% |
| 10 | Alvotech | 1.35 Bn | 919.66 Mn | 2.56 Mn | -21.38% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -21.38% |
| Mar 31, 2026 | 18.90% |
| Dec 31, 2025 | 38.20% |
| Sep 30, 2025 | -790.02% |
| Jun 30, 2025 | -57.16% |
| Mar 31, 2025 | 75.37% |
| Dec 31, 2024 | 9.26% |
| Sep 30, 2024 | 20.49% |
| Jun 30, 2024 | 171.77% |
| Mar 31, 2024 | -389.53% |
| Dec 31, 2023 | -408.23% |
| Sep 30, 2023 | -1,250.63% |
| Jun 30, 2023 | -1,354.94% |
| Mar 31, 2023 | -606.87% |
| Dec 31, 2022 | -2,514.82% |
| Jun 30, 2022 | -379.01% |
| Mar 31, 2022 | -15,988.05% |
Alvotech 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=ALVO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ALVO", "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=ALVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();