Frequency Electronics (FEIM) Accumulated Expenses (2011 - 2026)
Frequency Electronics' Accumulated Expenses came in at $6.01 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 3.3% from $6.21 million a year earlier and down 7.4% from the prior quarter.
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Analysis
Frequency Electronics (FEIM) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Frequency Electronics' Accumulated Expenses was $6.48 million, up 9.9% from FY2025.
- Accumulated Expenses has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $5.9 million in FY2025 (+23.8%), $4.77 million in FY2024 (+21.1%), $3.93 million in FY2023 (+6.4%) and $3.7 million in FY2022 (-29.5%).
- The five-year range for quarterly Accumulated Expenses is $3.34 million (fiscal Q2 2023) to $6.48 million (fiscal Q4 2026).
- Year-over-year, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 11.0%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q3 2024 (growth of 33.3%), and the weakest in fiscal Q1 2023 (a decline of 35.1%).
- Business Quant data shows FEIM's Accumulated Expenses at $6.48 million (Q4 2026), $4.84 million (Q3 2026) and $5.02 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 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 |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Frequency Electronics | 618.83 Mn | 552.74 Mn | 10.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.01 Mn |
| Apr 30, 2026 | 6.48 Mn |
| Jan 31, 2026 | 4.84 Mn |
| Oct 31, 2025 | 5.02 Mn |
| Jul 31, 2025 | 6.21 Mn |
| Apr 30, 2025 | 5.90 Mn |
| Jan 31, 2025 | 5.01 Mn |
| Oct 31, 2024 | 3.98 Mn |
| Jul 31, 2024 | 4.94 Mn |
| Apr 30, 2024 | 4.77 Mn |
| Jan 31, 2024 | 4.53 Mn |
| Oct 31, 2023 | 4.05 Mn |
| Jul 31, 2023 | 3.97 Mn |
| Apr 30, 2023 | 3.93 Mn |
| Jan 31, 2023 | 3.40 Mn |
| Oct 31, 2022 | 3.34 Mn |
| Jul 31, 2022 | 3.39 Mn |
| Apr 30, 2022 | 3.70 Mn |
| Jan 31, 2022 | 4.16 Mn |
| Oct 31, 2021 | 3.71 Mn |
API Access
Frequency Electronics Accumulated 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=accumulated-expenses&ticker=FEIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();