Gilead Sciences (GILD) Amortizatization of Intangibles (2009 - 2026)
Gilead Sciences' Amortizatization of Intangibles was $600 million in Q2 2026, up 0.3% from $598 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Gilead Sciences (GILD) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gilead Sciences' Amortizatization of Intangibles was $2.39 billion through Jun 30, 2026, down 0.1% year-over-year; for FY2025, it came in at $2.39 billion, up 0.2% from FY2024.
- Amortizatization of Intangibles has now increased for six consecutive years, with a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $2.39 billion in FY2024 (+2.0%), $2.34 billion in FY2023 (+31.4%), $1.78 billion in FY2022 (+3.4%) and $1.72 billion in FY2021 (+44.4%).
- The Q2 2026 figure marks the highest quarterly Amortizatization of Intangibles in data going back to Q1 2009.
- Compared with a year earlier, Amortizatization of Intangibles was higher in four of the last eight quarters, with an average year-over-year change of 0.0%.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q3 2021 (growth of 56.4%); the worst was Q1 2026 (a decline of 0.5%).
- Per Business Quant data, GILD's Amortizatization of Intangibles in the three quarters before Q2 2026 was $596 million (Q1 2026), $597 million (Q4 2025) and $596 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | - |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 1.70 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 984.00 Mn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | - |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 600.00 Mn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 600.00 Mn |
| Mar 31, 2026 | 596.00 Mn |
| Dec 31, 2025 | 597.00 Mn |
| Sep 30, 2025 | 596.00 Mn |
| Jun 30, 2025 | 598.00 Mn |
| Mar 31, 2025 | 599.00 Mn |
| Dec 31, 2024 | 598.00 Mn |
| Sep 30, 2024 | 596.00 Mn |
| Jun 30, 2024 | 596.00 Mn |
| Mar 31, 2024 | 596.00 Mn |
| Dec 31, 2023 | 597.00 Mn |
| Sep 30, 2023 | 598.00 Mn |
| Jun 30, 2023 | 598.00 Mn |
| Mar 31, 2023 | 546.00 Mn |
| Dec 31, 2022 | 445.00 Mn |
| Sep 30, 2022 | 445.00 Mn |
| Jun 30, 2022 | 445.00 Mn |
| Mar 31, 2022 | 445.00 Mn |
| Dec 31, 2021 | 445.00 Mn |
| Sep 30, 2021 | 441.00 Mn |
API Access
Gilead Sciences Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();