Wells Fargo & Company (WFC) Cash & Equivalents (2015 - 2022)
Wells Fargo & Company (WFC) posted Cash & Equivalents of $159.16 billion for Q4 2022, down 32.1% from $234.23 billion a year earlier and down 3.8% from the prior quarter.
Wells Fargo & Company (WFC) Cash & Equivalents (2015 - 2022) Analysis & Trends
Since Q4 2015, Wells Fargo & Company has reported Cash & Equivalents for 26 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -5.9% (FY2017 to FY2022).
- In prior years, Wells Fargo & Company's Cash & Equivalents was $234.23 billion in FY2021 (-11.5%), $264.61 billion in FY2020 (+87.3%), $141.25 billion in FY2019 (-18.5%) and $173.29 billion in FY2018 (-19.8%).
- Quarterly Cash & Equivalents has run from a low of $141.25 billion in Q4 2019 to a high of $286.73 billion in Q1 2021 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last five quarters, with an average decline of 6.5% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2021, with growth of 90.1%; the weakest was Q2 2022, with a decline of 43.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $165.46 billion (Q3 2022), $155.14 billion (Q2 2022) and $201.9 billion (Q1 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 45.24 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 159.16 Bn |
| Sep 30, 2022 | 165.46 Bn |
| Jun 30, 2022 | 155.14 Bn |
| Mar 31, 2022 | 201.90 Bn |
| Dec 31, 2021 | 234.23 Bn |
| Sep 30, 2021 | 266.69 Bn |
| Jun 30, 2021 | 274.17 Bn |
| Mar 31, 2021 | 286.73 Bn |
| Dec 31, 2020 | 264.61 Bn |
| Sep 30, 2020 | 246.77 Bn |
| Jun 30, 2020 | 262.50 Bn |
| Mar 31, 2020 | 150.81 Bn |
| Dec 31, 2019 | 141.25 Bn |
| Sep 30, 2019 | 148.73 Bn |
| Jun 30, 2019 | 164.43 Bn |
| Mar 31, 2019 | 148.97 Bn |
| Dec 31, 2018 | 173.29 Bn |
| Sep 30, 2018 | 159.52 Bn |
| Jun 30, 2018 | 163.45 Bn |
| Mar 31, 2018 | 202.40 Bn |
Wells Fargo & Company Cash & Equivalents 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=cash-and-equivalents&ticker=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "WFC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();