Frequency Electronics (FEIM) Operating Leases (2019 - 2026)
Frequency Electronics (FEIM) posted Operating Leases of $5.28 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 16.0% from $6.29 million a year earlier and down 6.5% from the prior quarter.
Frequency Electronics (FEIM) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Frequency Electronics' Operating Leases came in at $5.65 million, down 16.1% from FY2025.
- Annual Operating Leases shows a five-year compound annual growth rate of -7.6% (FY2021 to FY2026).
- In prior fiscal years, Frequency Electronics' Operating Leases was $6.73 million in FY2025 (+48.1%), $4.55 million in FY2024 (-22.7%), $5.88 million in FY2023 (-20.0%) and $7.35 million in FY2022 (-12.1%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Operating Leases since fiscal Q3 2025.
- On a year-over-year basis, Operating Leases increased in four of the last eight quarters, with growth averaging 17.0%.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q3 2026, with growth of 58.0%; the weakest was fiscal Q3 2024, with a decline of 24.7%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $5.65 million (Q4 2026), $5.99 million (Q3 2026) and $6.32 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Frequency Electronics | 904.17 Mn | 838.08 Mn | 10.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.28 Mn |
| Apr 30, 2026 | 5.65 Mn |
| Jan 31, 2026 | 5.99 Mn |
| Oct 31, 2025 | 6.32 Mn |
| Jul 31, 2025 | 6.29 Mn |
| Apr 30, 2025 | 6.73 Mn |
| Jan 31, 2025 | 3.79 Mn |
| Oct 31, 2024 | 4.04 Mn |
| Jul 31, 2024 | 4.30 Mn |
| Apr 30, 2024 | 4.55 Mn |
| Jan 31, 2024 | 4.72 Mn |
| Oct 31, 2023 | 5.13 Mn |
| Jul 31, 2023 | 5.52 Mn |
| Apr 30, 2023 | 5.88 Mn |
| Jan 31, 2023 | 6.26 Mn |
| Oct 31, 2022 | 6.63 Mn |
| Jul 31, 2022 | 6.99 Mn |
| Apr 30, 2022 | 7.35 Mn |
| Jan 31, 2022 | 7.71 Mn |
| Oct 31, 2021 | 7.61 Mn |
Frequency Electronics Operating Leases 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-leases&ticker=FEIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();