Coastal Financial (CCB) Operating Expenses (2017 - 2026)
Coastal Financial (CCB) posted Operating Expenses of $141.11 million for Q2 2026, up 93.7% from $72.83 million a year earlier and up 69.1% from the prior quarter.
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Analysis
Coastal Financial (CCB) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Coastal Financial was $367.54 million, up 32.9% year-over-year; for FY2025, it came in at $287.8 million, up 16.8% from FY2024.
- Annual Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 49.8% (FY2020 to FY2025).
- In prior years, Coastal Financial's Operating Expenses was $246.31 million in FY2024 (+26.6%), $194.57 million in FY2023 (+17.9%), $165.03 million in FY2022 (+160.9%) and $63.26 million in FY2021 (+66.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2017.
- On a year-over-year basis, Operating Expenses has increased in each of the last 33 quarters, with growth averaging 30.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 5.2% in Q4 2023 to 216.7% in Q3 2022.
- According to Business Quant data, Operating Expenses for the three prior quarters was $83.45 million (Q1 2026), $72.8 million (Q4 2025) and $70.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Coastal Financial | 573.64 Mn | 573.64 Mn | - | 141.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 141.11 Mn |
| Mar 31, 2026 | 83.45 Mn |
| Dec 31, 2025 | 72.80 Mn |
| Sep 30, 2025 | 70.17 Mn |
| Jun 30, 2025 | 72.83 Mn |
| Mar 31, 2025 | 71.99 Mn |
| Dec 31, 2024 | 67.41 Mn |
| Sep 30, 2024 | 64.42 Mn |
| Jun 30, 2024 | 57.96 Mn |
| Mar 31, 2024 | 56.51 Mn |
| Dec 31, 2023 | 47.71 Mn |
| Sep 30, 2023 | 53.91 Mn |
| Jun 30, 2023 | 49.83 Mn |
| Mar 31, 2023 | 43.12 Mn |
| Dec 31, 2022 | 45.36 Mn |
| Sep 30, 2022 | 51.09 Mn |
| Jun 30, 2022 | 38.17 Mn |
| Mar 31, 2022 | 30.42 Mn |
| Dec 31, 2021 | 21.05 Mn |
| Sep 30, 2021 | 16.13 Mn |
API Access
Coastal Financial Operating Expenses 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=operating-expenses&ticker=CCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();