Gilead Sciences (GILD) Cash from Operations (2009 - 2026)
Gilead Sciences' Cash from Operations was $5.04 billion in Q3 2026, up 22.6% from $4.11 billion a year earlier and up 40.9% from the prior quarter.
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Analysis
Gilead Sciences (GILD) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gilead Sciences' Cash from Operations was $14.48 billion through Sep 30, 2026, up 49.8% year-over-year; for FY2025, it was $10.02 billion, down 7.5% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $10.83 billion in FY2024 (+35.2%), $8.01 billion in FY2023 (-11.8%), $9.07 billion in FY2022 (-20.3%) and $11.38 billion in FY2021 (+39.4%).
- The Q3 2026 figure marks the highest quarterly Cash from Operations since Q4 2015.
- Compared with a year earlier, Cash from Operations has increased for four straight quarters, with growth averaging 48.2% over the last eight quarters.
- The best year-over-year quarter for Cash from Operations over five years was Q2 2026 (growth of 332.0%); the worst was Q2 2024 (a decline of 43.3%).
- Per Business Quant data, GILD's Cash from Operations in the three quarters before Q3 2026 was $3.57 billion (Q2 2026), $2.54 billion (Q1 2026) and $3.33 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 11.40 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 7.72 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 7.61 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 6.56 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 4.67 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 4.24 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 5.04 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 5.38 Bn |
| 10 | Vertex Pharmaceuticals | 136.55 Bn | 104.28 Bn | 2.91 Bn | 643.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.04 Bn |
| Jun 30, 2026 | 3.57 Bn |
| Mar 31, 2026 | 2.54 Bn |
| Dec 31, 2025 | 3.33 Bn |
| Sep 30, 2025 | 4.11 Bn |
| Jun 30, 2025 | 827.00 Mn |
| Mar 31, 2025 | 1.76 Bn |
| Dec 31, 2024 | 2.98 Bn |
| Sep 30, 2024 | 4.31 Bn |
| Jun 30, 2024 | 1.33 Bn |
| Mar 31, 2024 | 2.22 Bn |
| Dec 31, 2023 | 2.17 Bn |
| Sep 30, 2023 | 1.76 Bn |
| Jun 30, 2023 | 2.34 Bn |
| Mar 31, 2023 | 1.74 Bn |
| Dec 31, 2022 | 2.57 Bn |
| Sep 30, 2022 | 2.86 Bn |
| Jun 30, 2022 | 1.80 Bn |
| Mar 31, 2022 | 1.84 Bn |
| Dec 31, 2021 | 3.21 Bn |
API Access
Gilead Sciences Cash from Operations 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=cash-from-operations&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();