Espey Mfg & Electronics (ESP) Current Assets (2011 - 2026)
Espey Mfg & Electronics' Current Assets was $91.31 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 23.5% from $73.95 million a year earlier and up 1.3% from the prior quarter.
Espey Mfg & Electronics (ESP) Current Assets (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Espey Mfg & Electronics has reported Current Assets for 26 quarters.
- Current Assets has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 21.1% (FY2021 to FY2026).
- In earlier fiscal years, Current Assets was $73.95 million in FY2025 (+38.9%), $53.24 million in FY2024 (+19.2%), $44.68 million in FY2023 (+20.4%) and $37.1 million in FY2022 (+6.0%).
- The fiscal Q4 2026 figure marks the highest quarterly Current Assets in data going back to fiscal Q4 2011.
- Compared with a year earlier, Current Assets has increased for 17 straight quarters, with growth averaging 33.3% over the last eight quarters.
- The year-over-year growth in Current Assets has ranged between 6.0% (fiscal Q4 2022) and 50.1% (fiscal Q1 2026) over the last five years.
- Per Business Quant data, ESP's Current Assets in the three fiscal quarters before Q4 2026 was $90.12 million (Q3 2026), $80.88 million (Q2 2026) and $80.73 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 39.70 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 63.91 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 124.63 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 28.40 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 4.19 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 27.04 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 6.13 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 15.59 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 28.08 Bn |
| 10 | Espey Mfg & Electronics | 200.80 Mn | 18.62 Mn | 4.63 Mn | 91.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.31 Mn |
| Mar 31, 2026 | 90.12 Mn |
| Dec 31, 2025 | 80.88 Mn |
| Sep 30, 2025 | 80.73 Mn |
| Jun 30, 2025 | 73.95 Mn |
| Mar 31, 2025 | 67.36 Mn |
| Dec 31, 2024 | 55.56 Mn |
| Sep 30, 2024 | 53.77 Mn |
| Jun 30, 2024 | 53.24 Mn |
| Mar 31, 2024 | 50.38 Mn |
| Dec 31, 2023 | 45.27 Mn |
| Sep 30, 2023 | 45.42 Mn |
| Jun 30, 2023 | 44.68 Mn |
| Mar 31, 2023 | 43.95 Mn |
| Dec 31, 2022 | 41.94 Mn |
| Sep 30, 2022 | 38.33 Mn |
| Jun 30, 2022 | 37.10 Mn |
| Mar 31, 2022 | 36.10 Mn |
| Dec 31, 2021 | 35.35 Mn |
| Sep 30, 2021 | 35.14 Mn |
Espey Mfg & Electronics Current 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=current-assets&ticker=ESP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=ESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();