Frequency Electronics (FEIM) Receivables (2011 - 2026)
Frequency Electronics (FEIM) recorded Receivables of $25.86 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 19.4% from $21.65 million a year earlier and up 18.0% from the prior quarter.
Frequency Electronics (FEIM) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Frequency Electronics reported Receivables of $21.91 million, down 8.0% from FY2025.
- Annual Receivables has a five-year compound annual growth rate of 1.9% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $23.83 million in FY2025 (+57.4%), $15.14 million in FY2024 (-75.4%), $61.62 million in FY2023 (+368.7%) and $13.15 million in FY2022 (-34.2%).
- The fiscal Q1 2027 figure is the highest quarterly Receivables since fiscal Q3 2024.
- On a year-over-year basis, Receivables rose in five of the last eight quarters, with growth averaging 12.2%.
- Peak year-over-year performance for Receivables in the last five years was growth of 440.6% in fiscal Q3 2024, against a decline of 75.3% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $21.91 million (Q4 2026), $25.42 million (Q3 2026) and $21.57 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 10.85 Bn |
| 10 | Frequency Electronics | 904.17 Mn | 838.08 Mn | 10.75 Mn | 25.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 25.86 Mn |
| Apr 30, 2026 | 21.91 Mn |
| Jan 31, 2026 | 25.42 Mn |
| Oct 31, 2025 | 21.57 Mn |
| Jul 31, 2025 | 21.65 Mn |
| Apr 30, 2025 | 23.83 Mn |
| Jan 31, 2025 | 17.88 Mn |
| Oct 31, 2024 | 16.18 Mn |
| Jul 31, 2024 | 16.74 Mn |
| Apr 30, 2024 | 15.14 Mn |
| Jan 31, 2024 | 72.41 Mn |
| Oct 31, 2023 | 16.26 Mn |
| Jul 31, 2023 | 17.41 Mn |
| Apr 30, 2023 | 14.63 Mn |
| Jan 31, 2023 | 13.40 Mn |
| Oct 31, 2022 | 14.33 Mn |
| Jul 31, 2022 | 13.83 Mn |
| Apr 30, 2022 | 13.15 Mn |
| Jan 31, 2022 | 6.83 Mn |
| Oct 31, 2021 | 8.74 Mn |
Frequency Electronics Receivables 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=receivables&ticker=FEIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();