Novartis Ag (NVS) Return on Sales [ROS] (2009 - 2026)
Novartis Ag's Return on Sales [ROS] came in at 32.97% for Q2 2026, down 1.64 percentage points from 34.61% a year earlier but up 0.67 percentage points from the prior quarter.
Novartis Ag (NVS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Novartis Ag reported Return on Sales [ROS] of 31.23%, down 0.10 percentage points year-over-year; for FY2025, it came in at 32.36%, up 3.27 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +11.49 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 29.09% in FY2024 (+7.59 pp), 21.50% in FY2023 (+2.67 pp), 18.83% in FY2022 (-4.68 pp) and 23.51% in FY2021 (+2.64 pp).
- The five-year range for quarterly Return on Sales [ROS] is 14.96% (Q3 2023) to 35.24% (Q1 2025).
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +3.32 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2024 (a gain of 13.33 percentage points), and the weakest in Q2 2022 (a drop of 9.42 percentage points).
- Business Quant data shows NVS's Return on Sales [ROS] at 32.30% (Q1 2026), 27.11% (Q4 2025) and 32.36% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 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 | Vertex Pharmaceuticals | 138.90 Bn | 106.64 Bn | 2.91 Bn | 20.72% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.97% |
| Mar 31, 2026 | 32.30% |
| Dec 31, 2025 | 27.11% |
| Sep 30, 2025 | 32.36% |
| Jun 30, 2025 | 34.61% |
| Mar 31, 2025 | 35.24% |
| Dec 31, 2024 | 26.84% |
| Sep 30, 2024 | 28.29% |
| Jun 30, 2024 | 32.08% |
| Mar 31, 2024 | 28.51% |
| Dec 31, 2023 | 22.60% |
| Sep 30, 2023 | 14.96% |
| Jun 30, 2023 | 24.54% |
| Mar 31, 2023 | 24.25% |
| Dec 31, 2022 | 16.59% |
| Sep 30, 2022 | 17.40% |
| Jun 30, 2022 | 17.43% |
| Mar 31, 2022 | 22.76% |
| Dec 31, 2021 | 19.37% |
| Sep 30, 2021 | 24.81% |
Novartis Ag 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=NVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NVS", "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=NVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();