Frequency Electronics (FEIM) Cash & Equivalents (2010 - 2026)
Frequency Electronics (FEIM) posted Cash & Equivalents of $61.41 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with $4.51 million a year earlier.
Frequency Electronics (FEIM) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Frequency Electronics' Cash & Equivalents came in at $1.6 million, down 66.0% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -30.4% (FY2021 to FY2026).
- In prior fiscal years, Frequency Electronics' Cash & Equivalents was $4.72 million in FY2025 (-74.2%), $18.32 million in FY2024 (+52.0%), $12.05 million in FY2023 (+4.2%) and $11.56 million in FY2022 (+17.9%).
- The fiscal Q1 2027 figure stands as the highest quarterly Cash & Equivalents in data going back to fiscal Q1 2011.
- On a year-over-year basis, Cash & Equivalents increased in 1 of the last seven quarters, with an average decline of 60.2%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q2 2022, with growth of 190.7%; the weakest was fiscal Q3 2026, with a decline of 98.4%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $1.6 million (Q4 2026), $86,000 (Q3 2026) and $2.99 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 8.76 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 9.17 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 9.50 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 5.96 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 4.40 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 774.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 507.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 3.74 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 5.69 Bn |
| 10 | Frequency Electronics | 618.83 Mn | 552.74 Mn | 10.75 Mn | 61.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 61.41 Mn |
| Apr 30, 2026 | 1.60 Mn |
| Jan 31, 2026 | 86,000.00 |
| Oct 31, 2025 | 2.99 Mn |
| Jul 31, 2025 | 4.51 Mn |
| Apr 30, 2025 | 4.72 Mn |
| Jan 31, 2025 | 5.52 Mn |
| Oct 31, 2024 | 9.70 Mn |
| Jul 31, 2024 | 16.20 Mn |
| Apr 30, 2024 | 18.32 Mn |
| Jan 31, 2024 | 11.66 Mn |
| Oct 31, 2023 | 8.71 Mn |
| Jul 31, 2023 | 9.06 Mn |
| Apr 30, 2023 | 12.05 Mn |
| Jan 31, 2023 | 12.85 Mn |
| Oct 31, 2022 | 10.12 Mn |
| Jul 31, 2022 | 7.25 Mn |
| Apr 30, 2022 | 11.56 Mn |
| Jan 31, 2022 | 12.14 Mn |
| Oct 31, 2021 | 10.62 Mn |
Frequency Electronics Cash & Equivalents 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=cash-and-equivalents&ticker=FEIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();