Wells Fargo & Company/Mn (WFC) Equipment Expense (2009 - 2025)
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Analysis
Wells Fargo & Company/Mn (WFC) Equipment Expense (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 1.29 Bn |
| Mar 31, 2025 | 1.22 Bn |
| Dec 31, 2024 | 1.28 Bn |
| Sep 30, 2024 | 1.14 Bn |
| Jun 30, 2024 | 1.11 Bn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.08 Bn |
| Sep 30, 2023 | 975.00 Mn |
| Jun 30, 2023 | 947.00 Mn |
| Mar 31, 2023 | 922.00 Mn |
| Dec 31, 2022 | 902.00 Mn |
| Sep 30, 2022 | 798.00 Mn |
| Jun 30, 2022 | 799.00 Mn |
| Mar 31, 2022 | 876.00 Mn |
| Dec 31, 2021 | 827.00 Mn |
| Sep 30, 2021 | 741.00 Mn |
| Jun 30, 2021 | 815.00 Mn |
| Mar 31, 2021 | 844.00 Mn |
| Dec 31, 2020 | 838.00 Mn |
| Sep 30, 2020 | 791.00 Mn |
API Access
Wells Fargo & Company/Mn Equipment Expense 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=equipment-expense&ticker=WFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-expense", "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=equipment-expense&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();