Pfizer (PFE) Return on Sales [ROS] (2009 - 2026)
Pfizer (PFE) recorded Return on Sales [ROS] of 32.98% in Q3 2026, down 5.83 percentage points from 38.81% a year earlier but up 4.61 percentage points from the prior quarter.
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Analysis
Pfizer (PFE) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Pfizer's Return on Sales [ROS] came in at 30.49% as of Sep 27, 2026, down 1.80 percentage points year-over-year; for FY2025, it came in at 33.13%, up 5.14 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +3.64 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 27.98% in FY2024 (+17.56 pp), 10.42% in FY2023 (-29.46 pp), 39.88% in FY2022 (+7.16 pp) and 32.73% in FY2021 (+3.24 pp).
- Quarterly Return on Sales [ROS] has ranged from -20.25% in Q4 2023 to 47.01% in Q2 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +6.74 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 49.77 percentage points in Q3 2024, against a drop of 59.72 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 28.37% (Q2 2026), 37.04% (Q1 2026) and 24.56% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 32.98% |
| 10 | Vertex Pharmaceuticals | 138.73 Bn | 110.72 Bn | 2.91 Bn | 20.72% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 32.98% |
| Jun 28, 2026 | 28.37% |
| Mar 29, 2026 | 37.04% |
| Dec 31, 2025 | 24.56% |
| Sep 28, 2025 | 38.81% |
| Jun 29, 2025 | 34.48% |
| Mar 30, 2025 | 36.15% |
| Dec 31, 2024 | 21.36% |
| Sep 29, 2024 | 35.50% |
| Jun 30, 2024 | 17.44% |
| Mar 31, 2024 | 36.36% |
| Dec 31, 2023 | -20.25% |
| Oct 1, 2023 | -14.27% |
| Jul 2, 2023 | 26.22% |
| Apr 2, 2023 | 41.77% |
| Dec 31, 2022 | 25.59% |
| Oct 2, 2022 | 45.45% |
| Jul 3, 2022 | 47.01% |
| Apr 3, 2022 | 41.27% |
| Dec 31, 2021 | 26.92% |
API Access
Pfizer 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=PFE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PFE", "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=PFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();