Coastal Financial (CCB) Retained Earnings (2017 - 2026)
Coastal Financial's Retained Earnings came in at $227.44 million for Q2 2026, down 1.7% from $231.29 million a year earlier and down 15.6% from the prior quarter.
Coastal Financial (CCB) Retained Earnings (2017 - 2026) Analysis & Trends
At the end of FY2025, Coastal Financial's Retained Earnings was $257.52 million, up 22.3% from FY2024.
- Retained Earnings has increased in each of the last eight years, with a five-year compound annual growth rate of 37.5% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $210.53 million in FY2024 (+27.4%), $165.31 million in FY2023 (+37.8%), $120 million in FY2022 (+51.2%) and $79.37 million in FY2021 (+51.6%).
- The Q2 2026 figure represents the lowest quarterly Retained Earnings since Q1 2025.
- Year-over-year, Retained Earnings increased in seven of the last eight quarters, with growth averaging 21.8%.
- The fastest year-over-year change in Retained Earnings over five years came in Q1 2023 (growth of 55.5%), and the weakest in Q2 2026 (a decline of 1.7%).
- Business Quant data shows CCB's Retained Earnings at $269.54 million (Q1 2026), $257.52 million (Q4 2025) and $244.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 237.23 Bn |
| 10 | Coastal Financial | 573.64 Mn | 573.64 Mn | - | 227.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227.44 Mn |
| Mar 31, 2026 | 269.54 Mn |
| Dec 31, 2025 | 257.52 Mn |
| Sep 30, 2025 | 244.88 Mn |
| Jun 30, 2025 | 231.29 Mn |
| Mar 31, 2025 | 220.26 Mn |
| Dec 31, 2024 | 210.53 Mn |
| Sep 30, 2024 | 197.16 Mn |
| Jun 30, 2024 | 183.71 Mn |
| Mar 31, 2024 | 172.11 Mn |
| Dec 31, 2023 | 165.31 Mn |
| Sep 30, 2023 | 156.30 Mn |
| Jun 30, 2023 | 146.03 Mn |
| Mar 31, 2023 | 133.12 Mn |
| Dec 31, 2022 | 120.00 Mn |
| Sep 30, 2022 | 106.88 Mn |
| Jun 30, 2022 | 95.78 Mn |
| Mar 31, 2022 | 85.60 Mn |
| Dec 31, 2021 | 79.37 Mn |
| Sep 30, 2021 | 72.08 Mn |
Coastal Financial 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=CCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "CCB", "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=CCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();