Gilead Sciences (GILD) Accumulated Expenses (2009 - 2022)
Gilead Sciences (GILD) posted Accumulated Expenses of $3.87 billion for Q3 2022, up 2.2% from $3.78 billion a year earlier but down 6.1% from the prior quarter.
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Analysis
Gilead Sciences (GILD) Accumulated Expenses (2009 - 2022) Analysis & Trends
At the end of FY2021, Gilead Sciences' Accumulated Expenses came in at $6.15 billion, up 41.7% from FY2020.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 15.5% (FY2016 to FY2021).
- In prior years, Gilead Sciences' Accumulated Expenses was $4.34 billion in FY2020 (+41.1%), $3.07 billion in FY2019 (-2.1%), $3.14 billion in FY2018 (-6.9%) and $3.37 billion in FY2017 (+12.7%).
- Quarterly Accumulated Expenses has run from a low of $2.33 billion in Q3 2018 to a high of $6.15 billion in Q4 2021 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 13.9%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2020, with growth of 48.7%; the weakest was Q2 2018, with a decline of 12.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $4.12 billion (Q2 2022), $3.5 billion (Q1 2022) and $6.15 billion (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 3.87 Bn |
| Jun 30, 2022 | 4.12 Bn |
| Mar 31, 2022 | 3.50 Bn |
| Dec 31, 2021 | 6.15 Bn |
| Sep 30, 2021 | 3.78 Bn |
| Jun 30, 2021 | 4.06 Bn |
| Mar 31, 2021 | 3.51 Bn |
| Dec 31, 2020 | 4.34 Bn |
| Sep 30, 2020 | 4.14 Bn |
| Jun 30, 2020 | 3.70 Bn |
| Mar 31, 2020 | 2.83 Bn |
| Dec 31, 2019 | 3.07 Bn |
| Sep 30, 2019 | 2.79 Bn |
| Jun 30, 2019 | 2.76 Bn |
| Mar 31, 2019 | 2.35 Bn |
| Dec 31, 2018 | 3.14 Bn |
| Sep 30, 2018 | 2.33 Bn |
| Jun 30, 2018 | 2.61 Bn |
| Mar 31, 2018 | 2.41 Bn |
| Dec 31, 2017 | 3.37 Bn |
API Access
Gilead Sciences Accumulated 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=accumulated-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();