Frequency Electronics (FEIM) Operating Expenses (2010 - 2026)
Frequency Electronics' Operating Expenses came in at $5.55 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 17.6% from $4.72 million a year earlier but down 14.6% from the prior quarter.
Frequency Electronics (FEIM) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Frequency Electronics reported Operating Expenses of $22.23 million, up 18.6% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $21.4 million, up 16.5% from FY2025.
- Operating Expenses has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 3.7% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $18.37 million in FY2025 (+35.4%), $13.56 million in FY2024 (+8.3%), $12.52 million in FY2023 (-24.7%) and $16.64 million in FY2022 (-6.9%).
- The five-year range for quarterly Operating Expenses is $2.63 million (fiscal Q2 2023) to $6.5 million (fiscal Q4 2026).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 22.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2025 (growth of 54.3%), and the weakest in fiscal Q1 2023 (a decline of 46.0%).
- Business Quant data shows FEIM's Operating Expenses at $6.5 million (Q4 2026), $5.36 million (Q3 2026) and $4.82 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 11.75 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 21.79 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 2.03 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 13.04 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 780.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 133.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 9.85 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 1.28 Bn |
| 10 | Frequency Electronics | 618.83 Mn | 552.74 Mn | 10.75 Mn | 5.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.55 Mn |
| Apr 30, 2026 | 6.50 Mn |
| Jan 31, 2026 | 5.36 Mn |
| Oct 31, 2025 | 4.82 Mn |
| Jul 31, 2025 | 4.72 Mn |
| Apr 30, 2025 | 4.22 Mn |
| Jan 31, 2025 | 4.82 Mn |
| Oct 31, 2024 | 5.00 Mn |
| Jul 31, 2024 | 4.33 Mn |
| Apr 30, 2024 | 3.79 Mn |
| Jan 31, 2024 | 3.58 Mn |
| Oct 31, 2023 | 3.39 Mn |
| Jul 31, 2023 | 2.81 Mn |
| Apr 30, 2023 | 3.65 Mn |
| Jan 31, 2023 | 3.14 Mn |
| Oct 31, 2022 | 2.63 Mn |
| Jul 31, 2022 | 3.10 Mn |
| Apr 30, 2022 | 3.14 Mn |
| Jan 31, 2022 | 3.96 Mn |
| Oct 31, 2021 | 3.79 Mn |
Frequency Electronics Operating Expenses 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=operating-expenses&ticker=FEIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();