Gilead Sciences (GILD) Change in Accured Expenses (2009 - 2026)
Gilead Sciences (GILD) posted Change in Accured Expenses of $338 million for Q2 2026, compared with -$166 million a year earlier.
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Analysis
Gilead Sciences (GILD) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Gilead Sciences was $52 million, up 10.6% year-over-year; for FY2025, it came in at $6 million, down 94.4% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -60.7% (FY2020 to FY2025).
- In prior years, Gilead Sciences' Change in Accured Expenses was $108 million in FY2024 (-76.4%), $458 million in FY2023, -$775 million in FY2022 and $689 million in FY2021 (+7.7%).
- Quarterly Change in Accured Expenses has run from a low of -$1.66 billion in Q1 2022 to a high of $1.54 billion in Q4 2021 over five years.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2025, with growth of 433.6%; the weakest was Q4 2022, with a decline of 76.9%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$702 million (Q1 2026), -$395 million (Q4 2025) and $811 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn | 222.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 338.00 Mn |
| Mar 31, 2026 | -702.00 Mn |
| Dec 31, 2025 | -395.00 Mn |
| Sep 30, 2025 | 811.00 Mn |
| Jun 30, 2025 | -166.00 Mn |
| Mar 31, 2025 | -244.00 Mn |
| Dec 31, 2024 | 305.00 Mn |
| Sep 30, 2024 | 152.00 Mn |
| Jun 30, 2024 | -174.00 Mn |
| Mar 31, 2024 | -175.00 Mn |
| Dec 31, 2023 | 317.00 Mn |
| Sep 30, 2023 | 50.00 Mn |
| Jun 30, 2023 | 634.00 Mn |
| Mar 31, 2023 | -543.00 Mn |
| Dec 31, 2022 | 356.00 Mn |
| Sep 30, 2022 | 164.00 Mn |
| Jun 30, 2022 | 362.00 Mn |
| Mar 31, 2022 | -1.66 Bn |
| Dec 31, 2021 | 1.54 Bn |
| Sep 30, 2021 | -138.00 Mn |
API Access
Gilead Sciences Change in Accured Expenses 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-accured-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();