Goldman Sachs (GS) EV to CFO (2009 - 2025)
Goldman Sachs' (GS) EV to CFO was -32.60 for Q3 2025.
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Analysis
Goldman Sachs (GS) EV to CFO (2009 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Goldman Sachs' EV to CFO came in at -161.00; for FY2022, it came in at -49.16.
- By year, EV to CFO came in at -21.19 in FY2021, -2.25 in FY2019 and -4.17 in FY2018.
- The Q3 2025 figure ranks as the highest quarterly EV to CFO since Q2 2023.
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 |
|---|---|
| Sep 30, 2025 | -32.60 |
| Jun 30, 2023 | -6.80 |
| Mar 31, 2023 | -3.20 |
| Dec 31, 2022 | -49.16 |
| Sep 30, 2022 | -2.56 |
| Jun 30, 2022 | -11.08 |
| Dec 31, 2021 | -21.19 |
| Jun 30, 2021 | -1.83 |
| Mar 31, 2021 | -2.73 |
| Sep 30, 2020 | -4.18 |
| Mar 31, 2020 | -3.44 |
| Dec 31, 2019 | -2.25 |
| Dec 31, 2018 | -4.17 |
| Jun 30, 2018 | -38.70 |
| Mar 31, 2017 | 16.06 |
| Dec 31, 2016 | -4.26 |
| Sep 30, 2016 | 5.24 |
| Jun 30, 2016 | 3.33 |
| Mar 31, 2016 | 322.91 |
| Dec 31, 2015 | 7.97 |
API Access
Goldman Sachs EV to CFO 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=ev-to-cfo&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();