Gilead Sciences (GILD) Change in Inventory (2009 - 2026)
Gilead Sciences' Change in Inventory came in at $145 million for Q2 2026, down 17.1% from $175 million a year earlier but up 178.8% from the prior quarter.
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Analysis
Gilead Sciences (GILD) Change in Inventory (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gilead Sciences reported Change in Inventory of $835 million, up 17.8% year-over-year; for FY2025, it came in at $1.04 billion, up 143.2% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of 39.7% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $426 million in FY2024 (-49.4%), $842 million in FY2023 (+171.6%), $310 million in FY2022 and -$11 million in FY2021.
- The five-year range for quarterly Change in Inventory is -$70 million (Q3 2021) to $515 million (Q3 2025).
- Year-over-year, Change in Inventory has declined for three consecutive quarters, with growth averaging 111.2% over the last eight quarters.
- The fastest year-over-year change in Change in Inventory over five years came in Q3 2025 (growth of 505.9%), and the weakest in Q1 2024 (a decline of 80.2%).
- Business Quant data shows GILD's Change in Inventory at $52 million (Q1 2026), $123 million (Q4 2025) and $515 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 571.00 Mn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 143.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 31.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 145.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 128.38 Bn | 100.39 Bn | 2.84 Bn | 27.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 145.00 Mn |
| Mar 31, 2026 | 52.00 Mn |
| Dec 31, 2025 | 123.00 Mn |
| Sep 30, 2025 | 515.00 Mn |
| Jun 30, 2025 | 175.00 Mn |
| Mar 31, 2025 | 223.00 Mn |
| Dec 31, 2024 | 226.00 Mn |
| Sep 30, 2024 | 85.00 Mn |
| Jun 30, 2024 | 70.00 Mn |
| Mar 31, 2024 | 45.00 Mn |
| Dec 31, 2023 | 307.00 Mn |
| Sep 30, 2023 | 82.00 Mn |
| Jun 30, 2023 | 226.00 Mn |
| Mar 31, 2023 | 227.00 Mn |
| Dec 31, 2022 | 276.00 Mn |
| Sep 30, 2022 | 95.00 Mn |
| Jun 30, 2022 | -8.00 Mn |
| Mar 31, 2022 | -53.00 Mn |
| Dec 31, 2021 | -35.00 Mn |
| Sep 30, 2021 | -70.00 Mn |
API Access
Gilead Sciences Change in Inventory 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=change-in-inventory&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();