Johnson & Johnson (JNJ) Return on Sales [ROS] (2009 - 2026)
Johnson & Johnson (JNJ) reported Return on Sales [ROS] of 28.21% for Q2 2026, up 0.22 percentage points from 27.99% a year earlier and up 1.77 percentage points from the prior quarter.
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Analysis
Johnson & Johnson (JNJ) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Johnson & Johnson's Return on Sales [ROS] came in at 26.59%, up 2.91 percentage points year-over-year; for FY2025, it came in at 26.93%, up 3.27 percentage points from FY2024.
- Return on Sales [ROS] has a four-year change of +3.12 percentage points (FY2021 to FY2025).
- By year, Return on Sales [ROS] came in at 23.66% in FY2024 (-1.61 pp), 25.27% in FY2023 (-0.66 pp), 25.93% in FY2022 and 23.81% in FY2021.
- Five-year quarterly Return on Sales [ROS] spans a low of 15.98% in Q4 2024 and a high of 34.44% in Q4 2022.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +0.40 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2025 (a gain of 6.90 percentage points); the low point was Q4 2023 (a drop of 14.57 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 26.44% (Q1 2026), 22.42% (Q4 2025) and 29.31% (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 28.21% |
| Mar 29, 2026 | 26.44% |
| Dec 28, 2025 | 22.42% |
| Sep 28, 2025 | 29.31% |
| Jun 29, 2025 | 27.99% |
| Mar 30, 2025 | 28.24% |
| Dec 29, 2024 | 15.98% |
| Sep 29, 2024 | 22.42% |
| Jun 30, 2024 | 28.82% |
| Mar 31, 2024 | 27.63% |
| Dec 31, 2023 | 19.87% |
| Oct 1, 2023 | 26.88% |
| Jul 2, 2023 | 27.01% |
| Apr 2, 2023 | 27.36% |
| Jan 1, 2023 | 34.44% |
| Oct 2, 2022 | 26.50% |
| Jul 3, 2022 | 19.19% |
| Apr 3, 2022 | 21.94% |
| Oct 3, 2021 | 28.31% |
| Jul 4, 2021 | 26.60% |
API Access
Johnson & Johnson 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=JNJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "JNJ", "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=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();