Frequency Electronics (FEIM) Total Liabilities (2011 - 2026)
Frequency Electronics' Total Liabilities came in at $33.74 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 8.5% from $36.88 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Frequency Electronics (FEIM) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Frequency Electronics' Total Liabilities was $34.3 million, down 10.0% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of -4.5% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $38.12 million in FY2025 (-12.2%), $43.44 million in FY2024 (+4.4%), $41.61 million in FY2023 (+9.3%) and $38.07 million in FY2022 (-11.7%).
- The fiscal Q1 2027 figure represents the lowest quarterly Total Liabilities since fiscal Q3 2022.
- Year-over-year, Total Liabilities has declined for seven consecutive quarters, with an average decline of 10.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2023 (growth of 57.5%), and the weakest in fiscal Q1 2026 (a decline of 27.8%).
- Business Quant data shows FEIM's Total Liabilities at $34.3 million (Q4 2026), $33.95 million (Q3 2026) and $33.8 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Frequency Electronics | 904.17 Mn | 838.08 Mn | 10.75 Mn | 33.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 33.74 Mn |
| Apr 30, 2026 | 34.30 Mn |
| Jan 31, 2026 | 33.95 Mn |
| Oct 31, 2025 | 33.80 Mn |
| Jul 31, 2025 | 36.88 Mn |
| Apr 30, 2025 | 38.12 Mn |
| Jan 31, 2025 | 34.59 Mn |
| Oct 31, 2024 | 41.58 Mn |
| Jul 31, 2024 | 51.06 Mn |
| Apr 30, 2024 | 43.44 Mn |
| Jan 31, 2024 | 41.07 Mn |
| Oct 31, 2023 | 38.47 Mn |
| Jul 31, 2023 | 40.80 Mn |
| Apr 30, 2023 | 41.61 Mn |
| Jan 31, 2023 | 42.87 Mn |
| Oct 31, 2022 | 42.14 Mn |
| Jul 31, 2022 | 37.41 Mn |
| Apr 30, 2022 | 38.07 Mn |
| Jan 31, 2022 | 27.37 Mn |
| Oct 31, 2021 | 26.75 Mn |
API Access
Frequency Electronics Total Liabilities 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=total-liabilities&ticker=FEIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();