Eagle Financial Services (EFSI) Return on Sales [ROS] (2010 - 2026)
Eagle Financial Services' Return on Sales [ROS] came in at 54.50% for Q2 2026, down 21.49 percentage points from 75.99% a year earlier and down 5.89 percentage points from the prior quarter.
Eagle Financial Services (EFSI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Eagle Financial Services reported Return on Sales [ROS] of 61.93%, down 13.89 percentage points year-over-year; for FY2025, it was 335.87%, down 166.69 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +101.39 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 502.56% in FY2024, 771466.67% in FY2022 (+765337.85 pp) and 6128.81% in FY2021 (+5894.34 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -7.13 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2026 (a gain of 36.85 percentage points), and the weakest in Q1 2025 (a drop of 55.29 percentage points).
- Business Quant data shows EFSI's Return on Sales [ROS] at 60.40% (Q1 2026), 63.87% (Q4 2025) and 69.94% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Eagle Financial Services | 253.97 Mn | 253.97 Mn | - | 23.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.33% |
| Mar 31, 2026 | 27.00% |
| Dec 31, 2025 | 63.87% |
| Sep 30, 2025 | 31.35% |
| Jun 30, 2025 | 33.95% |
| Mar 31, 2025 | 23.55% |
| Dec 31, 2024 | 84.51% |
| Sep 30, 2024 | 34.48% |
| Jun 30, 2024 | 35.87% |
| Mar 31, 2024 | 35.53% |
| Dec 31, 2023 | 75.42% |
| Sep 30, 2023 | 31.33% |
| Jun 30, 2023 | 29.64% |
| Mar 31, 2023 | 25.18% |
| Dec 31, 2022 | 41.45% |
| Sep 30, 2022 | 18.34% |
| Jun 30, 2022 | 15.85% |
| Mar 31, 2022 | 13.40% |
| Dec 31, 2021 | 18.29% |
| Sep 30, 2021 | 28.92% |
Eagle 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=EFSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "EFSI", "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=EFSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();