Goldman Sachs (GS) Other Accumulated Expenses (2013 - 2018)
Goldman Sachs' Other Accumulated Expenses came in at $6.22 billion for Q4 2018, up 14.1% from $5.45 billion a year earlier.
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Analysis
Goldman Sachs (GS) Other Accumulated Expenses (2013 - 2018) Analysis & Trends
Going back to Q4 2013, Goldman Sachs' Other Accumulated Expenses data covers 6 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 3.7% (FY2013 to FY2018).
- Going back by year, Other Accumulated Expenses was $5.45 billion in FY2017 (+29.2%), $4.22 billion in FY2016 (-49.5%), $8.36 billion in FY2015 (+75.9%) and $4.75 billion in FY2014 (-8.3%).
- The Q4 2018 figure represents the highest quarterly Other Accumulated Expenses since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 6.22 Bn |
| Dec 31, 2017 | 5.45 Bn |
| Dec 31, 2016 | 4.22 Bn |
| Dec 31, 2015 | 8.36 Bn |
| Dec 31, 2014 | 4.75 Bn |
| Dec 31, 2013 | 5.18 Bn |
API Access
Goldman Sachs Other 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=other-accumulated-expenses&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "GS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();