Central Pacific Financial (CPF) Return on Sales [ROS] (2009 - 2026)
Central Pacific Financial (CPF) recorded Return on Sales [ROS] of 60.29% in Q3 2026, up 3.75 percentage points from 56.54% a year earlier and up 5.10 percentage points from the prior quarter.
Central Pacific Financial (CPF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Central Pacific Financial's Return on Sales [ROS] came in at 58.23% as of Sep 30, 2026, down 0.78 percentage points year-over-year; for FY2025, it was 58.61%, down 6.23 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +32.36 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 64.84% in FY2024 (+6.60 pp), 58.24% in FY2023 (+14.27 pp), 43.97% in FY2022 (-0.64 pp) and 44.61% in FY2021 (+18.36 pp).
- The Q3 2026 figure is the highest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in 1 of the last eight quarters, with an average year-over-year change of -3.61 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 21.28 percentage points in Q4 2021, against a drop of 11.64 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 55.19% (Q2 2026), 58.48% (Q1 2026) and 58.99% (Q4 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 | Central Pacific Financial | 998.33 Mn | 998.33 Mn | - | 60.29% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.29% |
| Jun 30, 2026 | 55.19% |
| Mar 31, 2026 | 58.48% |
| Dec 31, 2025 | 58.99% |
| Sep 30, 2025 | 56.54% |
| Jun 30, 2025 | 57.96% |
| Mar 31, 2025 | 61.14% |
| Dec 31, 2024 | 60.94% |
| Sep 30, 2024 | 61.74% |
| Jun 30, 2024 | 69.60% |
| Mar 31, 2024 | 66.96% |
| Dec 31, 2023 | 63.50% |
| Sep 30, 2023 | 61.27% |
| Jun 30, 2023 | 56.26% |
| Mar 31, 2023 | 51.93% |
| Dec 31, 2022 | 52.49% |
| Sep 30, 2022 | 41.45% |
| Jun 30, 2022 | 36.89% |
| Mar 31, 2022 | 45.34% |
| Dec 31, 2021 | 49.32% |
Central Pacific 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=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CPF", "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=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();