Cullen (CFR) Return on Sales [ROS] (2009 - 2026)
Cullen (CFR) recorded Return on Sales [ROS] of 1028.69% in Q2 2026, down 202.73 percentage points from 1231.43% a year earlier and down 34.37 percentage points from the prior quarter.
Cullen (CFR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Cullen's Return on Sales [ROS] came in at 592.09% as of Jun 30, 2026, down 13.37 percentage points year-over-year; for FY2025, it was 1197.89%, down 197.19 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +707.80 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 1395.08% in FY2024 (-71.62 pp), 1466.70% in FY2023 (+538.14 pp), 928.56% in FY2022 (+312.13 pp) and 616.43% in FY2021 (+126.34 pp).
- Quarterly Return on Sales [ROS] has ranged from -1437.92% in Q4 2024 to 1582.40% in Q1 2023 over the past five years.
- 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 -414.57 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1059.45 percentage points in Q1 2023, against a drop of 2708.06 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 1063.07% (Q1 2026), -956.16% (Q4 2025) and 1229.31% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Cullen | 9.64 Bn | -20.94 Bn | - | 1,028.69% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,028.69% |
| Mar 31, 2026 | 1,063.07% |
| Dec 31, 2025 | -956.16% |
| Sep 30, 2025 | 1,229.31% |
| Jun 30, 2025 | 1,231.43% |
| Mar 31, 2025 | 1,215.86% |
| Dec 31, 2024 | -1,437.92% |
| Sep 30, 2024 | 1,382.86% |
| Jun 30, 2024 | 1,434.95% |
| Mar 31, 2024 | 1,439.85% |
| Dec 31, 2023 | 1,270.14% |
| Sep 30, 2023 | 1,536.54% |
| Jun 30, 2023 | 1,494.07% |
| Mar 31, 2023 | 1,582.40% |
| Dec 31, 2022 | 1,460.11% |
| Sep 30, 2022 | 1,089.95% |
| Jun 30, 2022 | 662.68% |
| Mar 31, 2022 | 522.95% |
| Dec 31, 2021 | 527.80% |
| Sep 30, 2021 | 600.59% |
Cullen 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=CFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CFR", "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=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();