Frequency Electronics (FEIM) Enterprise Value (2010 - 2026)
Frequency Electronics (FEIM) reported Enterprise Value of $574 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 125.3% from $254.81 million a year earlier and up 16.3% from the prior quarter.
Frequency Electronics (FEIM) Enterprise Value (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Frequency Electronics' Enterprise Value came in at $569.32 million, up 142.4% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $493.43 million, up 180.7% from FY2025.
- Enterprise Value has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 44.3% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $175.77 million in FY2025 (+140.8%), $72.99 million in FY2024 (+48.2%), $49.25 million in FY2023 (-8.6%) and $53.87 million in FY2022 (-31.8%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Enterprise Value in data going back to fiscal Q1 2011.
- Year over year, Enterprise Value has now increased in each of the last 13 quarters, with growth averaging 148.2% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q3 2026 (growth of 230.9%); the low point was fiscal Q2 2023 (a decline of 60.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $493.43 million (Q4 2026), $517.3 million (Q3 2026) and $355.87 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 | 574.00 Mn |
| Apr 30, 2026 | 493.43 Mn |
| Jan 31, 2026 | 517.30 Mn |
| Oct 31, 2025 | 355.87 Mn |
| Jul 31, 2025 | 254.81 Mn |
| Apr 30, 2025 | 175.77 Mn |
| Jan 31, 2025 | 156.35 Mn |
| Oct 31, 2024 | 111.50 Mn |
| Jul 31, 2024 | 113.84 Mn |
| Apr 30, 2024 | 72.99 Mn |
| Jan 31, 2024 | 85.27 Mn |
| Oct 31, 2023 | 61.44 Mn |
| Jul 31, 2023 | 55.82 Mn |
| Apr 30, 2023 | 49.25 Mn |
| Jan 31, 2023 | 43.26 Mn |
| Oct 31, 2022 | 28.33 Mn |
| Jul 31, 2022 | 44.01 Mn |
| Apr 30, 2022 | 53.87 Mn |
| Jan 31, 2022 | 62.15 Mn |
| Oct 31, 2021 | 71.96 Mn |
Frequency Electronics Enterprise Value 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=enterprise-value&ticker=FEIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();