Keycorp (KEY) Return on Sales [ROS] (2009 - 2026)
Keycorp's Return on Sales [ROS] came in at 74.44% for Q2 2026, down 7.76 percentage points from 82.20% a year earlier but up 0.35 percentage points from the prior quarter.
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Analysis
Keycorp (KEY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Keycorp reported Return on Sales [ROS] of 76.53%, down 8.78 percentage points year-over-year; for FY2025, it was 80.96%, down 14.28 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +47.95 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 95.23% in FY2024 (+14.17 pp), 81.06% in FY2023 (+36.64 pp), 44.42% in FY2022 (-4.45 pp) and 48.86% in FY2021 (+15.86 pp).
- The five-year range for quarterly Return on Sales [ROS] is 35.68% (Q1 2022) to 104.98% (Q3 2024).
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -7.85 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 47.42 percentage points), and the weakest in Q3 2025 (a drop of 22.85 percentage points).
- Business Quant data shows KEY's Return on Sales [ROS] at 74.09% (Q1 2026), 75.66% (Q4 2025) and 82.13% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Keycorp | 21.43 Bn | -26.27 Bn | - | 74.44% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.44% |
| Mar 31, 2026 | 74.09% |
| Dec 31, 2025 | 75.66% |
| Sep 30, 2025 | 82.13% |
| Jun 30, 2025 | 82.20% |
| Mar 31, 2025 | 84.41% |
| Dec 31, 2024 | 78.13% |
| Sep 30, 2024 | 104.98% |
| Jun 30, 2024 | 101.45% |
| Mar 31, 2024 | 94.28% |
| Dec 31, 2023 | 77.47% |
| Sep 30, 2023 | 95.96% |
| Jun 30, 2023 | 86.70% |
| Mar 31, 2023 | 65.44% |
| Dec 31, 2022 | 49.97% |
| Sep 30, 2022 | 48.54% |
| Jun 30, 2022 | 42.46% |
| Mar 31, 2022 | 35.68% |
| Dec 31, 2021 | 43.15% |
| Sep 30, 2021 | 48.48% |
API Access
Keycorp 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=KEY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "KEY", "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=KEY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();