Coastal Financial (CCB) Loans - Loss Allowance (2017 - 2026)
Coastal Financial's Loans - Loss Allowance was $213.72 million in Q2 2026, up 29.7% from $164.79 million a year earlier and up 24.0% from the prior quarter.
Coastal Financial (CCB) Loans - Loss Allowance (2017 - 2026) Analysis & Trends
At the end of FY2025, Loans - Loss Allowance at Coastal Financial came in at $169.53 million, down 4.2% from FY2024.
- Loans - Loss Allowance shows a five-year compound annual growth rate of 54.5% (FY2020 to FY2025).
- In earlier years, Loans - Loss Allowance was $176.99 million in FY2024 (+50.8%), $117.38 million in FY2023 (+58.6%), $74.03 million in FY2022 (+158.6%) and $28.63 million in FY2021 (+48.6%).
- The Q2 2026 figure marks the highest quarterly Loans - Loss Allowance in data going back to Q2 2017.
- Compared with a year earlier, Loans - Loss Allowance was higher in six of the last eight quarters, with growth averaging 22.9%.
- The best year-over-year quarter for Loans - Loss Allowance over five years was Q3 2022 (growth of 193.2%); the worst was Q1 2026 (a decline of 5.9%).
- Per Business Quant data, CCB's Loans - Loss Allowance in the three quarters before Q2 2026 was $172.43 million (Q1 2026), $169.53 million (Q4 2025) and $173.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 347,603.00 |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 13.11 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.91 Bn |
| 10 | Coastal Financial | 610.92 Mn | 610.92 Mn | - | 213.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 213.72 Mn |
| Mar 31, 2026 | 172.43 Mn |
| Dec 31, 2025 | 169.53 Mn |
| Sep 30, 2025 | 173.81 Mn |
| Jun 30, 2025 | 164.79 Mn |
| Mar 31, 2025 | 183.18 Mn |
| Dec 31, 2024 | 176.99 Mn |
| Sep 30, 2024 | 171.67 Mn |
| Jun 30, 2024 | 148.88 Mn |
| Mar 31, 2024 | 139.94 Mn |
| Dec 31, 2023 | 117.38 Mn |
| Sep 30, 2023 | 101.20 Mn |
| Jun 30, 2023 | 110.81 Mn |
| Mar 31, 2023 | 89.12 Mn |
| Dec 31, 2022 | 74.03 Mn |
| Sep 30, 2022 | 59.28 Mn |
| Jun 30, 2022 | 49.36 Mn |
| Mar 31, 2022 | 38.77 Mn |
| Dec 31, 2021 | 28.63 Mn |
| Sep 30, 2021 | 20.22 Mn |
Coastal Financial Loans - Loss Allowance 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=loans-loss-allowance&ticker=CCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=CCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();