Enterprise Financial Services (EFSC) Return on Sales [ROS] (2010 - 2026)
Enterprise Financial Services' Return on Sales [ROS] came in at 61.94% for Q2 2026, down 13.28 percentage points from 75.22% a year earlier and down 3.82 percentage points from the prior quarter.
Enterprise Financial Services (EFSC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Enterprise Financial Services reported Return on Sales [ROS] of 68.28%, down 9.33 percentage points year-over-year; for FY2025, it came in at 73.72%, down 6.91 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +34.66 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 80.62% in FY2024 (+9.52 pp), 71.10% in FY2023 (+14.70 pp), 56.40% in FY2022 (+11.61 pp) and 44.79% in FY2021 (+5.74 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q4 2022.
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -4.95 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2022 (a gain of 35.40 percentage points), and the weakest in Q3 2021 (a drop of 18.09 percentage points).
- Business Quant data shows EFSC's Return on Sales [ROS] at 65.75% (Q1 2026), 69.18% (Q4 2025) and 75.29% (Q3 2025) in the three quarters before Q2 2026.
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 | Enterprise Financial Services | 2.16 Bn | 2.16 Bn | - | 61.94% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.94% |
| Mar 31, 2026 | 65.75% |
| Dec 31, 2025 | 69.18% |
| Sep 30, 2025 | 75.29% |
| Jun 30, 2025 | 75.22% |
| Mar 31, 2025 | 75.48% |
| Dec 31, 2024 | 77.64% |
| Sep 30, 2024 | 82.25% |
| Jun 30, 2024 | 82.23% |
| Mar 31, 2024 | 80.48% |
| Dec 31, 2023 | 73.34% |
| Sep 30, 2023 | 75.67% |
| Jun 30, 2023 | 70.91% |
| Mar 31, 2023 | 64.42% |
| Dec 31, 2022 | 60.59% |
| Sep 30, 2022 | 56.55% |
| Jun 30, 2022 | 51.84% |
| Mar 31, 2022 | 55.50% |
| Dec 31, 2021 | 56.33% |
| Sep 30, 2021 | 21.15% |
Enterprise Financial Services 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=EFSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "EFSC", "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=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();