Astrazeneca (AZN) Return on Sales [ROS] (2009 - 2026)
Astrazeneca (AZN) posted Return on Sales [ROS] of 20.57% for Q2 2026, down 3.70 percentage points from 24.27% a year earlier and down 7.21 percentage points from the prior quarter.
Astrazeneca (AZN) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Astrazeneca was 22.77%, up 2.72 percentage points year-over-year; for FY2025, it was 23.40%, up 4.90 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +4.00 percentage points (FY2020 to FY2025).
- In prior years, Astrazeneca's Return on Sales [ROS] was 18.50% in FY2024 (+0.61 pp), 17.88% in FY2023 (+9.41 pp), 8.47% in FY2022 (+5.65 pp) and 2.82% in FY2021 (-16.57 pp).
- Quarterly Return on Sales [ROS] has run from a low of -16.97% in Q3 2021 to a high of 27.77% in Q1 2026 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +2.26 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 28.30 percentage points; the weakest was Q3 2021, with a drop of 34.77 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 27.77% (Q1 2026), 19.21% (Q4 2025) and 23.59% (Q3 2025).
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 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn | 37.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.57% |
| Mar 31, 2026 | 27.77% |
| Dec 31, 2025 | 19.21% |
| Sep 30, 2025 | 23.59% |
| Jun 30, 2025 | 24.27% |
| Mar 31, 2025 | 27.04% |
| Dec 31, 2024 | 13.67% |
| Sep 30, 2024 | 15.53% |
| Jun 30, 2024 | 21.22% |
| Mar 31, 2024 | 24.57% |
| Dec 31, 2023 | 10.26% |
| Sep 30, 2023 | 17.00% |
| Jun 30, 2023 | 21.51% |
| Mar 31, 2023 | 23.43% |
| Dec 31, 2022 | 9.76% |
| Sep 30, 2022 | 11.34% |
| Jun 30, 2022 | 5.00% |
| Mar 31, 2022 | 7.71% |
| Dec 31, 2021 | -2.43% |
| Sep 30, 2021 | -16.97% |
Astrazeneca 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=AZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AZN", "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=AZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();