Goldman Sachs (GS) Acquisitions (2009 - 2023)
Goldman Sachs' Acquisitions was -$495 million in Q4 2023, compared with $2 million a year earlier.
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Analysis
Goldman Sachs (GS) Acquisitions (2009 - 2023) Analysis & Trends
For FY2023, Acquisitions at Goldman Sachs came in at -$487 million.
- In earlier years, Acquisitions was $2.12 billion in FY2022, $231 million in FY2020 (-71.2%) and $803 million in FY2019 (+395.7%).
- The Q4 2023 figure marks the lowest quarterly Acquisitions since Q2 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | - |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | - |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | - |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | - |
| 6 | Mitsubishi Ufj Financial | 268.92 Bn | -1,319.57 Bn | 10.89 Bn | - |
| 7 | Royal Bank Of Canada | 267.86 Bn | 118.60 Bn | - | - |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | - |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | - |
| 10 | American Express | 205.32 Bn | -2.85 Bn | - | 26.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -495.00 Mn |
| Jun 30, 2023 | 8.00 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 283.00 Mn |
| Jun 30, 2022 | 1.82 Bn |
| Mar 31, 2022 | 13.00 Mn |
| Dec 31, 2020 | 5.00 Mn |
| Sep 30, 2020 | 226.00 Mn |
| Sep 30, 2019 | 742.00 Mn |
| Dec 31, 2018 | 16.00 Mn |
| Sep 30, 2018 | -3.00 Mn |
| Jun 30, 2018 | 81.00 Mn |
| Mar 31, 2018 | 68.00 Mn |
| Dec 31, 2017 | 535.00 Mn |
| Sep 30, 2017 | 762.00 Mn |
| Jun 30, 2017 | 574.00 Mn |
| Mar 31, 2017 | 512.00 Mn |
| Dec 31, 2016 | 832.00 Mn |
| Sep 30, 2016 | 128.00 Mn |
| Jun 30, 2016 | -16.44 Bn |
API Access
Goldman Sachs Acquisitions 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=acquisitions&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();