Gilead Sciences (GILD) Return on Sales [ROS] (2009 - 2026)
Gilead Sciences' Return on Sales [ROS] came in at -133.21% for Q2 2026, down 168.14 percentage points from 34.93% a year earlier and down 170.36 percentage points from the prior quarter.
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Analysis
Gilead Sciences (GILD) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gilead Sciences reported Return on Sales [ROS] of -8.20%, down 36.09 percentage points year-over-year; for FY2025, it came in at 34.04%, up 28.26 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +17.55 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 5.78% in FY2024 (-22.27 pp), 28.05% in FY2023 (+1.18 pp), 26.87% in FY2022 (-9.45 pp) and 36.32% in FY2021 (+19.83 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] in data going back to Q1 2009.
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -7.68 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2025 (a gain of 98.20 percentage points), and the weakest in Q2 2026 (a drop of 168.14 percentage points).
- Business Quant data shows GILD's Return on Sales [ROS] at 37.16% (Q1 2026), 25.03% (Q4 2025) and 42.82% (Q3 2025) in the three quarters before Q2 2026.
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 30, 2026 | -133.21% |
| Mar 31, 2026 | 37.16% |
| Dec 31, 2025 | 25.03% |
| Sep 30, 2025 | 42.82% |
| Jun 30, 2025 | 34.93% |
| Mar 31, 2025 | 33.55% |
| Dec 31, 2024 | 32.40% |
| Sep 30, 2024 | 11.77% |
| Jun 30, 2024 | 38.02% |
| Mar 31, 2024 | -64.64% |
| Dec 31, 2023 | 22.66% |
| Sep 30, 2023 | 37.20% |
| Jun 30, 2023 | 25.23% |
| Mar 31, 2023 | 26.84% |
| Dec 31, 2022 | 30.68% |
| Sep 30, 2022 | 40.29% |
| Jun 30, 2022 | 32.41% |
| Mar 31, 2022 | 2.99% |
| Dec 31, 2021 | 12.98% |
| Sep 30, 2021 | 51.77% |
API Access
Gilead Sciences 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=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GILD", "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=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();