Goldman Sachs (GS) Goodwill (2013 - 2026)
Goldman Sachs (GS) reported Goodwill of $655 million for Q1 2026.
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Analysis
Goldman Sachs (GS) Goodwill (2013 - 2026) Analysis & Trends
At the end of FY2018, Goldman Sachs posted Goodwill of $3.76 billion, up 2.5% from FY2017.
- Goodwill has a five-year compound annual growth rate of 0.3% (FY2013 to FY2018).
- By year, Goodwill came in at $3.67 billion in FY2017 (unchanged), $3.67 billion in FY2016 (+0.2%), $3.66 billion in FY2015 (+0.3%) and $3.65 billion in FY2014 (-1.6%).
- The Q1 2026 figure ranks as the highest quarterly Goodwill in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - |
| 10 | American Express | 210.06 Bn | 9.55 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 655.00 Mn |
| Mar 31, 2019 | 3.76 Bn |
| Dec 31, 2018 | 3.76 Bn |
| Sep 30, 2018 | 3.75 Bn |
| Jun 30, 2018 | 3.76 Bn |
| Mar 31, 2018 | 3.71 Bn |
| Dec 31, 2017 | 3.67 Bn |
| Sep 30, 2017 | 3.67 Bn |
| Jun 30, 2017 | 3.67 Bn |
| Mar 31, 2017 | 3.66 Bn |
| Dec 31, 2016 | 3.67 Bn |
| Sep 30, 2016 | 3.67 Bn |
| Jun 30, 2016 | 3.67 Bn |
| Mar 31, 2016 | 3.66 Bn |
| Dec 31, 2015 | 3.66 Bn |
| Sep 30, 2015 | 3.65 Bn |
| Jun 30, 2015 | 3.65 Bn |
| Mar 31, 2015 | 3.65 Bn |
| Dec 31, 2014 | 3.65 Bn |
| Sep 30, 2014 | 3.71 Bn |
API Access
Goldman Sachs Goodwill 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=goodwill&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();