Customers Bancorp (CUBI) Provision for Losses (2011 - 2026)
Customers Bancorp (CUBI) posted Provision for Losses of $17.72 million for Q2 2026, down 4.0% from $18.46 million a year earlier and down 4.5% from the prior quarter.
Powered by 
Analysis
Customers Bancorp (CUBI) Provision for Losses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at Customers Bancorp was -$80.88 million; for FY2025, it was -$77.26 million.
- In prior years, Customers Bancorp's Provision for Losses was -$69.8 million in FY2024, -$70.85 million in FY2023, -$59.49 million in FY2022 and -$27.43 million in FY2021.
- Quarterly Provision for Losses has run from a low of -$136.92 million in Q4 2025 to a high of $24.16 million in Q2 2022 over five years.
- On a year-over-year basis, Provision for Losses increased in four of the last six quarters, with growth averaging 6.0%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was Q2 2022, with growth of 634.2%; the weakest was Q2 2024, with a decline of 20.2%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $18.56 million (Q1 2026), -$136.92 million (Q4 2025) and $19.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Customers Bancorp | 2.87 Bn | -14.71 Bn | - | 17.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.72 Mn |
| Mar 31, 2026 | 18.56 Mn |
| Dec 31, 2025 | -136.92 Mn |
| Sep 30, 2025 | 19.76 Mn |
| Jun 30, 2025 | 18.46 Mn |
| Mar 31, 2025 | 21.45 Mn |
| Dec 31, 2024 | -121.37 Mn |
| Sep 30, 2024 | 17.77 Mn |
| Jun 30, 2024 | 17.85 Mn |
| Mar 31, 2024 | 15.95 Mn |
| Dec 31, 2023 | -128.27 Mn |
| Sep 30, 2023 | 17.06 Mn |
| Jun 30, 2023 | 22.36 Mn |
| Mar 31, 2023 | 18.01 Mn |
| Dec 31, 2022 | -91.09 Mn |
| Sep 30, 2022 | -7.84 Mn |
| Jun 30, 2022 | 24.16 Mn |
| Mar 31, 2022 | 15.27 Mn |
| Dec 31, 2021 | 13.89 Mn |
| Sep 30, 2021 | 13.16 Mn |
API Access
Customers Bancorp Provision for Losses 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=provision-for-losses&ticker=CUBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=CUBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();