Goldman Sachs (GS) Preferred Dividends & Other Adjustments (2009 - 2026)
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Analysis
Goldman Sachs (GS) Preferred Dividends & Other Adjustments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Pref. Div. & Adj. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 403.00 Mn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 326.00 Mn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 145.00 Mn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 229.00 Mn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 247.00 Mn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 67.42 Mn |
| 10 | American Express | 210.06 Bn | 9.55 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229.00 Mn |
| Mar 31, 2026 | 227.00 Mn |
| Dec 31, 2025 | 233.00 Mn |
| Sep 30, 2025 | 238.00 Mn |
| Jun 30, 2025 | 250.00 Mn |
| Mar 31, 2025 | 155.00 Mn |
| Dec 31, 2024 | 188.00 Mn |
| Sep 30, 2024 | 210.00 Mn |
| Jun 30, 2024 | 152.00 Mn |
| Mar 31, 2024 | 201.00 Mn |
| Dec 31, 2023 | 141.00 Mn |
| Sep 30, 2023 | 176.00 Mn |
| Jun 30, 2023 | 145.00 Mn |
| Mar 31, 2023 | 147.00 Mn |
| Dec 31, 2022 | 141.00 Mn |
| Sep 30, 2022 | 107.00 Mn |
| Jun 30, 2022 | 141.00 Mn |
| Mar 31, 2022 | 108.00 Mn |
| Dec 31, 2021 | 126.00 Mn |
| Sep 30, 2021 | 94.00 Mn |
API Access
Goldman Sachs Preferred Dividends & Other Adjustments 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=preferred-dividends-and-other-adjustments&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "preferred-dividends-and-other-adjustments", "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=preferred-dividends-and-other-adjustments&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();