Frequency Electronics (FEIM) Market Capitalization (2010 - 2026)
Frequency Electronics (FEIM) reported Market Capitalization of $635.41 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 145.0% from $259.32 million a year earlier and up 28.4% from the prior quarter.
Frequency Electronics (FEIM) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Frequency Electronics posted Market Capitalization of $495.03 million, up 174.3% from FY2025.
- Market Capitalization has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 38.0% (FY2021 to FY2026).
- By fiscal year, Market Capitalization came in at $180.49 million in FY2025 (+97.7%), $91.31 million in FY2024 (+49.0%), $61.3 million in FY2023 (-18.7%) and $75.4 million in FY2022 (-23.9%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Market Capitalization in data going back to fiscal Q1 2011.
- Year over year, Market Capitalization has now increased in each of the last 13 quarters, with growth averaging 134.0% over the last eight quarters.
- The high point for year-over-year Market Capitalization in five years was fiscal Q3 2026 (growth of 219.6%); the low point was fiscal Q2 2023 (a decline of 48.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $495.03 million (Q4 2026), $517.39 million (Q3 2026) and $358.86 million (Q2 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 | Frequency Electronics | 904.17 Mn | 838.08 Mn | 10.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 635.41 Mn |
| Apr 30, 2026 | 495.03 Mn |
| Jan 31, 2026 | 517.39 Mn |
| Oct 31, 2025 | 358.86 Mn |
| Jul 31, 2025 | 259.32 Mn |
| Apr 30, 2025 | 180.49 Mn |
| Jan 31, 2025 | 161.86 Mn |
| Oct 31, 2024 | 121.20 Mn |
| Jul 31, 2024 | 130.04 Mn |
| Apr 30, 2024 | 91.31 Mn |
| Jan 31, 2024 | 96.94 Mn |
| Oct 31, 2023 | 70.15 Mn |
| Jul 31, 2023 | 64.88 Mn |
| Apr 30, 2023 | 61.30 Mn |
| Jan 31, 2023 | 56.12 Mn |
| Oct 31, 2022 | 48.06 Mn |
| Jul 31, 2022 | 61.47 Mn |
| Apr 30, 2022 | 75.40 Mn |
| Jan 31, 2022 | 84.39 Mn |
| Oct 31, 2021 | 92.54 Mn |
Frequency Electronics Market Capitalization 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=market-capitalization&ticker=FEIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();