Espey Mfg & Electronics (ESP) Return on Assets [ROA] (2011 - 2026)
Espey Mfg & Electronics (ESP) reported Return on Assets [ROA] of 11.58% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.86 percentage points from 10.72% a year earlier but down 0.31 percentage points from the prior quarter.
Espey Mfg & Electronics (ESP) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Espey Mfg & Electronics posted Return on Assets [ROA] of 12.68%, up 0.68 percentage points from FY2025.
- Return on Assets [ROA] has increased for four consecutive fiscal years, with a four-year change of +9.44 percentage points (FY2022 to FY2026).
- By fiscal year, Return on Assets [ROA] came in at 12.00% in FY2025 (+0.83 pp), 11.18% in FY2024 (+2.76 pp), 8.41% in FY2023 (+5.17 pp) and 3.25% in FY2022.
- Five-year quarterly Return on Assets [ROA] spans a low of 3.21% in fiscal Q4 2022 and a high of 11.89% in fiscal Q3 2026.
- Year over year, Return on Assets [ROA] has now increased in each of the last three quarters, with an average year-over-year change of +0.99 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q4 2023 (a gain of 4.61 percentage points); the low point was fiscal Q1 2023 (a drop of 5.13 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 11.89% (Q3 2026), 11.31% (Q2 2026) and 10.63% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 7.01% |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 4.72% |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.48% |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 10.33% |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 14.22% |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 7.53% |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 11.17% |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 8.92% |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 10.86% |
| 10 | Espey Mfg & Electronics | 187.65 Mn | 5.47 Mn | 4.63 Mn | 11.58% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.58% |
| Mar 31, 2026 | 11.89% |
| Dec 31, 2025 | 11.31% |
| Sep 30, 2025 | 10.63% |
| Jun 30, 2025 | 10.72% |
| Mar 31, 2025 | 10.68% |
| Dec 31, 2024 | 10.92% |
| Sep 30, 2024 | 11.07% |
| Jun 30, 2024 | 10.60% |
| Mar 31, 2024 | 9.31% |
| Dec 31, 2023 | 9.33% |
| Sep 30, 2023 | 8.26% |
| Jun 30, 2023 | 7.82% |
| Mar 31, 2023 | 6.71% |
| Dec 31, 2022 | 6.66% |
| Sep 30, 2022 | 4.27% |
| Jun 30, 2022 | 3.21% |
| Mar 31, 2022 | 4.94% |
| Dec 31, 2021 | 6.07% |
| Sep 30, 2021 | 9.40% |
Espey Mfg & Electronics Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=ESP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=ESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();