Gilead Sciences (GILD) Asset Writedowns and Impairment (2016 - 2026)
Gilead Sciences' Asset Writedowns and Impairment was $1.75 billion in Q2 2026, up 821.1% from $190 million a year earlier.
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Analysis
Gilead Sciences (GILD) Asset Writedowns and Impairment (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gilead Sciences' Asset Writedowns and Impairment was $2.34 billion through Jun 30, 2026, up 17.6% year-over-year; for FY2025, it came in at $590 million, down 86.0% from FY2024.
- Asset Writedowns and Impairment shows a three-year compound annual growth rate of -39.8% (FY2022 to FY2025).
- In earlier years, Asset Writedowns and Impairment was $4.2 billion in FY2024, $50 million in FY2023 (-98.1%) and $2.7 billion in FY2022.
- The Q2 2026 figure marks the highest quarterly Asset Writedowns and Impairment since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 129.23 Bn | 101.23 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.75 Bn |
| Dec 31, 2025 | 400.00 Mn |
| Jun 30, 2025 | 190.00 Mn |
| Sep 30, 2024 | 1.80 Bn |
| Mar 31, 2024 | 2.43 Bn |
| Dec 31, 2023 | 50.00 Mn |
| Mar 31, 2022 | 2.70 Bn |
| Dec 31, 2016 | 201.00 Mn |
| Sep 30, 2016 | 117.00 Mn |
| Mar 31, 2016 | 114.00 Mn |
API Access
Gilead Sciences Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();