Banc Of California (BANC) Return on Sales [ROS] (2009 - 2026)
Banc Of California's Return on Sales [ROS] was -1043.26% in Q2 2026, down 1126.89 percentage points from 83.63% a year earlier and down 1130.94 percentage points from the prior quarter.
Banc Of California (BANC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Banc Of California's Return on Sales [ROS] was 69.82% through Jun 30, 2026, down 24.41 percentage points year-over-year; for FY2025, it came in at 55.66%, down 0.18 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +22.65 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 55.84% in FY2024 (+120.69 pp), -64.85% in FY2023 (-115.93 pp), 51.08% in FY2022 (-13.77 pp) and 64.85% in FY2021 (+31.84 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- Compared with a year earlier, Return on Sales [ROS] has declined for six straight quarters, with an average year-over-year change of -102.98 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 434.77 percentage points); the worst was Q2 2026 (a drop of 1126.89 percentage points).
- Per Business Quant data, BANC's Return on Sales [ROS] in the three quarters before Q2 2026 was 87.67% (Q1 2026), 90.59% (Q4 2025) and 94.34% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Banc Of California | 2.84 Bn | -6.67 Bn | - | 91.61% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 91.61% |
| Jun 30, 2026 | -1,043.26% |
| Mar 31, 2026 | 87.67% |
| Dec 31, 2025 | 90.59% |
| Sep 30, 2025 | 24.20% |
| Jun 30, 2025 | 10.40% |
| Mar 31, 2025 | 0.73% |
| Dec 31, 2024 | 0.77% |
| Sep 30, 2024 | 4.05% |
| Jun 30, 2024 | 11.70% |
| Mar 31, 2024 | 111.06% |
| Dec 31, 2023 | -330.43% |
| Sep 30, 2023 | 165.46% |
| Jun 30, 2023 | 154.10% |
| Mar 31, 2023 | -323.71% |
| Dec 31, 2022 | 69.15% |
| Sep 30, 2022 | 59.58% |
| Jun 30, 2022 | 54.97% |
| Mar 31, 2022 | 91.23% |
| Dec 31, 2021 | 21.88% |
Banc Of California 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=BANC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BANC", "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=BANC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();