Customers Bancorp (CUBI) Asset Writedowns and Impairment (2016 - 2023)
Customers Bancorp's Asset Writedowns and Impairment came in at $2.28 million for FY2025.
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Analysis
Customers Bancorp (CUBI) Asset Writedowns and Impairment (2016 - 2023) Analysis & Trends
Going back to FY2016, Customers Bancorp's Asset Writedowns and Impairment data covers 4 years.
- Asset Writedowns and Impairment carries a three-year compound annual growth rate of 18.7% (FY2022 to FY2025).
- The FY2025 figure represents the highest annual Asset Writedowns and Impairment since FY2017.
- Per Business Quant, earlier years put Asset Writedowns and Impairment at $1.36 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 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 | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Customers Bancorp | 2.55 Bn | -15.02 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -124,000.00 |
| Jun 30, 2023 | 15,000.00 |
| Mar 31, 2023 | 109,000.00 |
| Sep 30, 2022 | 162,000.00 |
| Jun 30, 2022 | 1.20 Mn |
| Sep 30, 2017 | 8.35 Mn |
| Jun 30, 2017 | 2.88 Mn |
| Mar 31, 2017 | 1.70 Mn |
| Dec 31, 2016 | 7.26 Mn |
API Access
Customers Bancorp Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=CUBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "CUBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=CUBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();