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 | 324.09 Bn | 278.09 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Frequency Electronics | 926.53 Mn | 860.45 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();