Espey Mfg & Electronics (ESP) EBITDA (2010 - 2026)
Espey Mfg & Electronics' EBITDA was $3.61 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 31.3% from $2.75 million a year earlier and up 15.7% from the prior quarter.
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Analysis
Espey Mfg & Electronics (ESP) EBITDA (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), EBITDA at Espey Mfg & Electronics came in at $12.11 million, up 41.1% from FY2025.
- EBITDA has now increased for four consecutive fiscal years, with a four-year compound annual growth rate of 56.4% (FY2022 to FY2026).
- In earlier fiscal years, EBITDA was $8.58 million in FY2025 (+22.7%), $6.99 million in FY2024 (+46.1%), $4.78 million in FY2023 (+136.4%) and $2.02 million in FY2022.
- The fiscal Q4 2026 figure marks the highest quarterly EBITDA in data going back to fiscal Q1 2011.
- Compared with a year earlier, EBITDA has increased for six straight quarters, with growth averaging 34.8% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q2 2023 (growth of 786.8%); the worst was fiscal Q2 2025 (a decline of 3.3%).
- Per Business Quant data, ESP's EBITDA in the three fiscal quarters before Q4 2026 was $3.12 million (Q3 2026), $3.2 million (Q2 2026) and $2.18 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Espey Mfg & Electronics | 200.80 Mn | 18.62 Mn | 4.63 Mn | 3.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.61 Mn |
| Mar 31, 2026 | 3.12 Mn |
| Dec 31, 2025 | 3.20 Mn |
| Sep 30, 2025 | 2.18 Mn |
| Jun 30, 2025 | 2.75 Mn |
| Mar 31, 2025 | 1.87 Mn |
| Dec 31, 2024 | 2.13 Mn |
| Sep 30, 2024 | 1.83 Mn |
| Jun 30, 2024 | 2.24 Mn |
| Mar 31, 2024 | 1.20 Mn |
| Dec 31, 2023 | 2.21 Mn |
| Sep 30, 2023 | 1.34 Mn |
| Jun 30, 2023 | 1.10 Mn |
| Mar 31, 2023 | 1.08 Mn |
| Dec 31, 2022 | 1.51 Mn |
| Sep 30, 2022 | 1.09 Mn |
| Jun 30, 2022 | 469,892.00 |
| Mar 31, 2022 | 921,139.00 |
| Dec 31, 2021 | 169,956.00 |
| Sep 30, 2012 | 1.86 Mn |
API Access
Espey Mfg & Electronics EBITDA 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=ebitda&ticker=ESP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();