Espey Mfg & Electronics (ESP) Return on Sales [ROS] (2010 - 2026)
Espey Mfg & Electronics' Return on Sales [ROS] came in at 25.79% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.64 percentage points from 27.43% a year earlier and down 0.33 percentage points from the prior quarter.
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Analysis
Espey Mfg & Electronics (ESP) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Espey Mfg & Electronics' Return on Sales [ROS] was 25.14%, up 6.65 percentage points from FY2025.
- Return on Sales [ROS] has increased in each of the last four fiscal years, with a four-year change of +20.37 percentage points (FY2022 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 18.49% in FY2025 (+1.61 pp), 16.88% in FY2024 (+4.80 pp), 12.08% in FY2023 (+7.32 pp) and 4.76% in FY2022.
- The five-year range for quarterly Return on Sales [ROS] is 0.28% (fiscal Q2 2022) to 27.43% (fiscal Q4 2025).
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +4.22 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2023 (a gain of 15.46 percentage points), and the weakest in fiscal Q2 2025 (a drop of 5.44 percentage points).
- Business Quant data shows ESP's Return on Sales [ROS] at 26.12% (Q3 2026), 25.30% (Q2 2026) and 22.72% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 18.37% |
| 10 | Espey Mfg & Electronics | 187.65 Mn | 5.47 Mn | 4.63 Mn | 25.79% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.79% |
| Mar 31, 2026 | 26.12% |
| Dec 31, 2025 | 25.30% |
| Sep 30, 2025 | 22.72% |
| Jun 30, 2025 | 27.43% |
| Mar 31, 2025 | 17.00% |
| Dec 31, 2024 | 14.88% |
| Sep 30, 2024 | 16.46% |
| Jun 30, 2024 | 18.36% |
| Mar 31, 2024 | 13.24% |
| Dec 31, 2023 | 20.31% |
| Sep 30, 2023 | 14.26% |
| Jun 30, 2023 | 11.78% |
| Mar 31, 2023 | 9.77% |
| Dec 31, 2022 | 15.74% |
| Sep 30, 2022 | 11.27% |
| Jun 30, 2022 | 4.12% |
| Mar 31, 2022 | 9.29% |
| Dec 31, 2021 | 0.28% |
| Sep 30, 2021 | 4.75% |
API Access
Espey Mfg & Electronics 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=ESP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ESP", "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=ESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();