Gilead Sciences (GILD) Return on Capital Employed [ROCE] (2009 - 2026)
Gilead Sciences' Return on Capital Employed [ROCE] was -5.97% in Q2 2026, down 23.91 percentage points from 17.94% a year earlier and down 27.50 percentage points from the prior quarter.
Gilead Sciences (GILD) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Gilead Sciences came in at 21.23%, up 17.81 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +13.64 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 3.42% in FY2024 (-11.38 pp), 14.80% in FY2023 (+1.31 pp), 13.49% in FY2022 (-4.04 pp) and 17.53% in FY2021 (+9.94 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2009.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in five of the last eight quarters, with an average year-over-year change of +2.47 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2025 (a gain of 21.46 percentage points); the worst was Q2 2026 (a drop of 23.91 percentage points).
- Per Business Quant data, GILD's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 21.53% (Q1 2026), 21.34% (Q4 2025) and 23.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn | 20.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.97% |
| Mar 31, 2026 | 21.53% |
| Dec 31, 2025 | 21.34% |
| Sep 30, 2025 | 23.40% |
| Jun 30, 2025 | 17.94% |
| Mar 31, 2025 | 18.12% |
| Dec 31, 2024 | 3.71% |
| Sep 30, 2024 | 1.94% |
| Jun 30, 2024 | 5.79% |
| Mar 31, 2024 | 3.42% |
| Dec 31, 2023 | 14.92% |
| Sep 30, 2023 | 16.39% |
| Jun 30, 2023 | 17.60% |
| Mar 31, 2023 | 17.00% |
| Dec 31, 2022 | 14.20% |
| Sep 30, 2022 | 11.48% |
| Jun 30, 2022 | 13.04% |
| Mar 31, 2022 | 12.68% |
| Dec 31, 2021 | 17.74% |
| Sep 30, 2021 | 20.30% |
Gilead Sciences Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GILD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();