Gilead Sciences (GILD) Operating Margin (2009 - 2026)
Gilead Sciences (GILD) recorded Operating Margin of -133.21% in Q2 2026, down 168.14 percentage points from 34.93% a year earlier and down 170.36 percentage points from the prior quarter.
Gilead Sciences (GILD) Operating Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Gilead Sciences' Operating Margin came in at -8.20% as of Jun 30, 2026, down 36.09 percentage points year-over-year; for FY2025, it came in at 34.04%, up 28.26 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +17.55 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 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 is the lowest quarterly Operating Margin in data going back to Q1 2009.
- On a year-over-year basis, Operating Margin rose in four of the last eight quarters, with an average year-over-year change of -7.68 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 98.20 percentage points in Q1 2025, against a drop of 168.14 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 37.16% (Q1 2026), 25.03% (Q4 2025) and 42.82% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 37.40% |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn | 2.77% |
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% |
Gilead Sciences Operating Margin 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=operating-margin&ticker=GILD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();