Eagle Bancorp (EGBN) Return on Sales [ROS] (2010 - 2026)
Eagle Bancorp's Return on Sales [ROS] came in at 98.28% for Q2 2026, up 132.70 percentage points from -34.41% a year earlier but down 12.01 percentage points from the prior quarter.
Eagle Bancorp (EGBN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Eagle Bancorp reported Return on Sales [ROS] of 76.45%, down 26.70 percentage points year-over-year; for FY2025, it was 46.26%, down 73.18 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -20.33 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 119.44% in FY2024 (-28.69 pp), 148.13% in FY2023 (+69.20 pp), 78.94% in FY2022 (+2.85 pp) and 76.09% in FY2021 (+9.50 pp).
- The five-year range for quarterly Return on Sales [ROS] is -34.41% (Q2 2025) to 163.27% (Q3 2024).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -22.10 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2026 (a gain of 132.70 percentage points), and the weakest in Q3 2025 (a drop of 166.78 percentage points).
- Business Quant data shows EGBN's Return on Sales [ROS] at 110.29% (Q1 2026), 94.68% (Q4 2025) and -3.50% (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 Bancorp | 1.03 Bn | 1.03 Bn | - | 98.28% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.28% |
| Mar 31, 2026 | 110.29% |
| Dec 31, 2025 | 94.68% |
| Sep 30, 2025 | -3.50% |
| Jun 30, 2025 | -34.41% |
| Mar 31, 2025 | 122.77% |
| Dec 31, 2024 | 156.85% |
| Sep 30, 2024 | 163.27% |
| Jun 30, 2024 | 24.78% |
| Mar 31, 2024 | 132.29% |
| Dec 31, 2023 | 157.24% |
| Sep 30, 2023 | 162.27% |
| Jun 30, 2023 | 151.20% |
| Mar 31, 2023 | 122.39% |
| Dec 31, 2022 | 105.41% |
| Sep 30, 2022 | 86.13% |
| Jun 30, 2022 | 46.55% |
| Mar 31, 2022 | 76.86% |
| Dec 31, 2021 | 72.71% |
| Sep 30, 2021 | 78.50% |
Eagle Bancorp 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=EGBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "EGBN", "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=EGBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();