Coastal Financial (CCB) Return on Sales [ROS] (2017 - 2026)
Coastal Financial (CCB) posted Return on Sales [ROS] of -34.66% for Q2 2026, down 168.04 percentage points from 133.39% a year earlier and down 114.41 percentage points from the prior quarter.
Coastal Financial (CCB) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Coastal Financial was 47.55%, down 32.18 percentage points year-over-year; for FY2025, it came in at 92.40%, up 28.35 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -709.70 percentage points (FY2020 to FY2025).
- In prior years, Coastal Financial's Return on Sales [ROS] was 64.05% in FY2024 (-16.40 pp), 80.45% in FY2023 (+13.42 pp), 67.03% in FY2022 (-207.44 pp) and 274.47% in FY2021 (-527.63 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] in data going back to Q2 2017.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of -101.21 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2023, with a gain of 902.54 percentage points; the weakest was Q2 2024, with a drop of 891.60 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 79.75% (Q1 2026), 94.40% (Q4 2025) and 85.22% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Coastal Financial | 619.48 Mn | 619.48 Mn | - | -34.66% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -34.66% |
| Mar 31, 2026 | 79.75% |
| Dec 31, 2025 | 94.40% |
| Sep 30, 2025 | 85.22% |
| Jun 30, 2025 | 133.39% |
| Mar 31, 2025 | 72.99% |
| Dec 31, 2024 | 70.41% |
| Sep 30, 2024 | 68.25% |
| Jun 30, 2024 | 73.90% |
| Mar 31, 2024 | 47.38% |
| Dec 31, 2023 | 23.38% |
| Sep 30, 2023 | 889.71% |
| Jun 30, 2023 | 965.50% |
| Mar 31, 2023 | 868.76% |
| Dec 31, 2022 | 94.72% |
| Sep 30, 2022 | 60.27% |
| Jun 30, 2022 | 62.96% |
| Mar 31, 2022 | 43.61% |
| Dec 31, 2021 | 106.30% |
| Sep 30, 2021 | 409.23% |
Coastal Financial Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();