Frequency Electronics (FEIM) Shares Outstanding (Diluted) (2010 - 2026)
Frequency Electronics (FEIM) reported Shares Outstanding (Diluted) of 10.23 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 5.2% from 9.72 million a year earlier and up 4.6% from the prior quarter.
Frequency Electronics (FEIM) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Frequency Electronics posted Shares Outstanding (Diluted) of 9.78 million, up 1.8% from FY2025.
- Shares Outstanding (Diluted) has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 1.1% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 9.62 million in FY2025 (+1.9%), 9.43 million in FY2024 (+1.0%), 9.34 million in FY2023 (+0.8%) and 9.27 million in FY2022 (+0.2%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q1 2011.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 21 quarters, with growth averaging 2.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.2% in fiscal Q4 2022 to 5.2% in fiscal Q1 2027.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 9.78 million (Q4 2026), 9.8 million (Q3 2026) and 9.76 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 1.04 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.37 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 792.90 Mn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 231.50 Mn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 273.78 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 167.40 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 400.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 142.40 Mn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 319.20 Mn |
| 10 | Frequency Electronics | 618.83 Mn | 552.74 Mn | 10.75 Mn | 10.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.23 Mn |
| Apr 30, 2026 | 9.78 Mn |
| Jan 31, 2026 | 9.80 Mn |
| Oct 31, 2025 | 9.76 Mn |
| Jul 31, 2025 | 9.72 Mn |
| Apr 30, 2025 | 9.62 Mn |
| Jan 31, 2025 | 9.63 Mn |
| Oct 31, 2024 | 9.59 Mn |
| Jul 31, 2024 | 9.54 Mn |
| Apr 30, 2024 | 9.43 Mn |
| Jan 31, 2024 | 9.44 Mn |
| Oct 31, 2023 | 9.40 Mn |
| Jul 31, 2023 | 9.38 Mn |
| Apr 30, 2023 | 9.34 Mn |
| Jan 31, 2023 | 9.35 Mn |
| Oct 31, 2022 | 9.33 Mn |
| Jul 31, 2022 | 9.31 Mn |
| Apr 30, 2022 | 9.27 Mn |
| Jan 31, 2022 | 9.28 Mn |
| Oct 31, 2021 | 9.30 Mn |
Frequency Electronics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=FEIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();