Customers Bancorp (CUBI) Retained Earnings (2010 - 2026)
Customers Bancorp's Retained Earnings came in at $1.75 billion for Q3 2026, up 19.8% from $1.47 billion a year earlier and up 4.7% from the prior quarter.
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Analysis
Customers Bancorp (CUBI) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Customers Bancorp's Retained Earnings was $1.54 billion, up 15.8% from FY2024.
- Retained Earnings has increased in each of the last 11 years, with a five-year compound annual growth rate of 28.5% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $1.33 billion in FY2024 (+14.4%), $1.16 billion in FY2023 (+25.5%), $924.13 million in FY2022 (+30.9%) and $705.73 million in FY2021 (+60.9%).
- The Q3 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year-over-year, Retained Earnings has increased for 26 consecutive quarters, with growth averaging 15.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 10.4% (Q2 2025) to 77.9% (Q1 2022).
- Business Quant data shows CUBI's Retained Earnings at $1.68 billion (Q2 2026), $1.6 billion (Q1 2026) and $1.54 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 455.59 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | 735.16 Mn |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 278.81 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | 167.59 Bn |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 125.72 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 73.85 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 177.98 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 241.40 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | 66.96 Bn |
| 10 | Customers Bancorp | 2.87 Bn | -14.71 Bn | - | 1.68 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.68 Bn |
| Mar 31, 2026 | 1.60 Bn |
| Dec 31, 2025 | 1.54 Bn |
| Sep 30, 2025 | 1.47 Bn |
| Jun 30, 2025 | 1.39 Bn |
| Mar 31, 2025 | 1.34 Bn |
| Dec 31, 2024 | 1.33 Bn |
| Sep 30, 2024 | 1.30 Bn |
| Jun 30, 2024 | 1.26 Bn |
| Mar 31, 2024 | 1.21 Bn |
| Dec 31, 2023 | 1.16 Bn |
| Sep 30, 2023 | 1.10 Bn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 974.40 Mn |
| Dec 31, 2022 | 924.13 Mn |
| Sep 30, 2022 | 898.51 Mn |
| Jun 30, 2022 | 837.15 Mn |
| Mar 31, 2022 | 780.63 Mn |
| Dec 31, 2021 | 705.73 Mn |
| Sep 30, 2021 | 607.09 Mn |
API Access
Customers Bancorp Retained Earnings 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=retained-earnings&ticker=CUBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CUBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();