Gilead Sciences (GILD) Retained Earnings (2009 - 2026)
Gilead Sciences (GILD) reported Retained Earnings of $2.2 billion for Q2 2026, down 80.6% from $11.33 billion a year earlier and down 84.4% from the prior quarter.
Gilead Sciences (GILD) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Gilead Sciences posted Retained Earnings of $13.73 billion, up 19.4% from FY2024.
- Retained Earnings has a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- By year, Retained Earnings came in at $11.5 billion in FY2024 (-29.5%), $16.3 billion in FY2023 (+3.9%), $15.69 billion in FY2022 (-3.9%) and $16.32 billion in FY2021 (+13.5%).
- The Q2 2026 figure ranks as the lowest quarterly Retained Earnings since Q1 2012.
- Year over year, Retained Earnings gained in five of the last eight quarters, with an average decline of 9.0%.
- The high point for year-over-year Retained Earnings in five years was Q1 2026 (growth of 29.3%); the low point was Q2 2026 (a decline of 80.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.13 billion (Q1 2026), $13.73 billion (Q4 2025) and $12.83 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 171.67 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | -17.33 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 63.27 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 40.86 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 12.59 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | -22.28 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 2.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 112.09 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 15.69 Bn |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn | 20.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.20 Bn |
| Mar 31, 2026 | 14.13 Bn |
| Dec 31, 2025 | 13.73 Bn |
| Sep 30, 2025 | 12.83 Bn |
| Jun 30, 2025 | 11.33 Bn |
| Mar 31, 2025 | 10.93 Bn |
| Dec 31, 2024 | 11.50 Bn |
| Sep 30, 2024 | 11.07 Bn |
| Jun 30, 2024 | 11.17 Bn |
| Mar 31, 2024 | 10.66 Bn |
| Dec 31, 2023 | 16.30 Bn |
| Sep 30, 2023 | 16.00 Bn |
| Jun 30, 2023 | 15.14 Bn |
| Mar 31, 2023 | 15.22 Bn |
| Dec 31, 2022 | 15.69 Bn |
| Sep 30, 2022 | 15.76 Bn |
| Jun 30, 2022 | 15.12 Bn |
| Mar 31, 2022 | 14.99 Bn |
| Dec 31, 2021 | 16.32 Bn |
| Sep 30, 2021 | 16.90 Bn |
Gilead Sciences Retained Earnings 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=retained-earnings&ticker=GILD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();