Espey Mfg & Electronics (ESP) Assets (2011 - 2026)
Espey Mfg & Electronics (ESP) posted Assets of $97.15 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 22.8% from $79.12 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Espey Mfg & Electronics (ESP) Assets (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Espey Mfg & Electronics has reported Assets for 26 quarters.
- Annual Assets has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 20.7% (FY2021 to FY2026).
- In prior fiscal years, Espey Mfg & Electronics' Assets was $79.12 million in FY2025 (+39.9%), $56.54 million in FY2024 (+19.0%), $47.5 million in FY2023 (+19.1%) and $39.9 million in FY2022 (+5.0%).
- The fiscal Q4 2026 figure stands as the highest quarterly Assets in data going back to fiscal Q4 2011.
- On a year-over-year basis, Assets has increased in each of the last 17 quarters, with growth averaging 32.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Assets ran from 5.0% in fiscal Q4 2022 to 47.2% in fiscal Q1 2026.
- According to Business Quant data, Assets for the three prior fiscal quarters was $96 million (Q3 2026), $85.17 million (Q2 2026) and $84.85 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 127.67 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 173.97 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 165.87 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 62.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 13.25 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 60.16 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 19.24 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 50.76 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 77.34 Bn |
| 10 | Espey Mfg & Electronics | 200.80 Mn | 18.62 Mn | 4.63 Mn | 97.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.15 Mn |
| Mar 31, 2026 | 96.00 Mn |
| Dec 31, 2025 | 85.17 Mn |
| Sep 30, 2025 | 84.85 Mn |
| Jun 30, 2025 | 79.12 Mn |
| Mar 31, 2025 | 72.84 Mn |
| Dec 31, 2024 | 60.19 Mn |
| Sep 30, 2024 | 57.64 Mn |
| Jun 30, 2024 | 56.54 Mn |
| Mar 31, 2024 | 53.14 Mn |
| Dec 31, 2023 | 50.36 Mn |
| Sep 30, 2023 | 49.39 Mn |
| Jun 30, 2023 | 47.50 Mn |
| Mar 31, 2023 | 46.57 Mn |
| Dec 31, 2022 | 44.60 Mn |
| Sep 30, 2022 | 41.06 Mn |
| Jun 30, 2022 | 39.90 Mn |
| Mar 31, 2022 | 38.93 Mn |
| Dec 31, 2021 | 38.19 Mn |
| Sep 30, 2021 | 38.06 Mn |
API Access
Espey Mfg & Electronics Assets 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=assets&ticker=ESP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=ESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();