Espey Mfg & Electronics (ESP) Enterprise Value (2010 - 2026)
Espey Mfg & Electronics (ESP) reported Enterprise Value of $159.09 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 79.1% from $88.81 million a year earlier and up 33.8% from the prior quarter.
Espey Mfg & Electronics (ESP) Enterprise Value (2010 - 2026) Analysis & Trends
Dating back to fiscal Q1 2011, Espey Mfg & Electronics' Enterprise Value record includes 29 quarters.
- Enterprise Value has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 36.8% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $88.81 million in FY2025 (+154.7%), $34.87 million in FY2024 (+14.1%), $30.56 million in FY2023 (+14.6%) and $26.67 million in FY2022 (-19.8%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Enterprise Value in data going back to fiscal Q1 2011.
- Year over year, Enterprise Value has now increased in each of the last five quarters, with growth averaging 87.2% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q3 2026 (growth of 213.5%); the low point was fiscal Q3 2025 (a decline of 20.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $118.88 million (Q3 2026), $95.27 million (Q2 2026) and $69.29 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Espey Mfg & Electronics | 200.80 Mn | 18.62 Mn | 4.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.09 Mn |
| Mar 31, 2026 | 118.88 Mn |
| Dec 31, 2025 | 95.27 Mn |
| Sep 30, 2025 | 69.29 Mn |
| Jun 30, 2025 | 88.81 Mn |
| Mar 31, 2025 | 37.92 Mn |
| Dec 31, 2024 | 56.03 Mn |
| Sep 30, 2024 | 59.11 Mn |
| Jun 30, 2024 | 34.87 Mn |
| Mar 31, 2024 | 47.88 Mn |
| Dec 31, 2023 | 33.14 Mn |
| Sep 30, 2023 | 27.58 Mn |
| Jun 30, 2023 | 30.56 Mn |
| Mar 31, 2023 | 50.15 Mn |
| Dec 31, 2022 | 32.05 Mn |
| Sep 30, 2022 | 29.95 Mn |
| Jun 30, 2022 | 26.67 Mn |
| Mar 31, 2022 | 30.28 Mn |
| Dec 31, 2021 | 31.39 Mn |
| Sep 30, 2021 | 31.02 Mn |
Espey Mfg & Electronics Enterprise Value 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=enterprise-value&ticker=ESP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();