Frequency Electronics (FEIM) Assets (2011 - 2026)
Frequency Electronics (FEIM) posted Assets of $153.58 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 64.8% from $93.2 million a year earlier and up 69.3% from the prior quarter.
Frequency Electronics (FEIM) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Frequency Electronics' Assets came in at $90.71 million, down 3.2% from FY2025.
- Annual Assets shows a five-year compound annual growth rate of -1.6% (FY2021 to FY2026).
- In prior fiscal years, Frequency Electronics' Assets was $93.74 million in FY2025 (+12.6%), $83.25 million in FY2024 (+11.8%), $74.5 million in FY2023 (-12.1%) and $84.76 million in FY2022 (-14.0%).
- The fiscal Q1 2027 figure stands as the highest quarterly Assets in data going back to fiscal Q4 2011.
- On a year-over-year basis, Assets increased in seven of the last eight quarters, with growth averaging 15.9%.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q1 2027, with growth of 64.8%; the weakest was fiscal Q4 2022, with a decline of 14.0%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $90.71 million (Q4 2026), $94.19 million (Q3 2026) and $92.26 million (Q2 2026).
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 | Frequency Electronics | 904.17 Mn | 838.08 Mn | 10.75 Mn | 153.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 153.58 Mn |
| Apr 30, 2026 | 90.71 Mn |
| Jan 31, 2026 | 94.19 Mn |
| Oct 31, 2025 | 92.26 Mn |
| Jul 31, 2025 | 93.20 Mn |
| Apr 30, 2025 | 93.74 Mn |
| Jan 31, 2025 | 86.43 Mn |
| Oct 31, 2024 | 77.78 Mn |
| Jul 31, 2024 | 84.26 Mn |
| Apr 30, 2024 | 83.25 Mn |
| Jan 31, 2024 | 77.74 Mn |
| Oct 31, 2023 | 74.73 Mn |
| Jul 31, 2023 | 75.97 Mn |
| Apr 30, 2023 | 74.50 Mn |
| Jan 31, 2023 | 75.24 Mn |
| Oct 31, 2022 | 83.08 Mn |
| Jul 31, 2022 | 81.09 Mn |
| Apr 30, 2022 | 84.76 Mn |
| Jan 31, 2022 | 81.22 Mn |
| Oct 31, 2021 | 81.38 Mn |
Frequency 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=FEIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "FEIM", "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=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();