Frequency Electronics (FEIM) Return on Sales [ROS] (2010 - 2026)
Frequency Electronics' Return on Sales [ROS] was 22.13% in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 19.49 percentage points from 2.64% a year earlier and up 63.37 percentage points from the prior quarter.
Frequency Electronics (FEIM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Frequency Electronics' Return on Sales [ROS] was 2.51% through Jul 31, 2026, down 11.68 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it came in at -4.75%, down 21.55 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of -2.98 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 16.81% in FY2025 (+7.73 pp), 9.08% in FY2024 (+20.53 pp), -11.45% in FY2023 (+5.19 pp) and -16.64% in FY2022 (-14.88 pp).
- The fiscal Q1 2027 figure marks the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2011.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -4.59 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2023 (a gain of 61.39 percentage points); the worst was fiscal Q4 2022 (a drop of 58.99 percentage points).
- Per Business Quant data, FEIM's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was -41.24% (Q4 2026), 7.51% (Q3 2026) and 10.01% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 18.37% |
| 10 | Frequency Electronics | 942.32 Mn | 876.23 Mn | 10.75 Mn | 22.13% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 22.13% |
| Apr 30, 2026 | -41.24% |
| Jan 31, 2026 | 7.51% |
| Oct 31, 2025 | 10.01% |
| Jul 31, 2025 | 2.64% |
| Apr 30, 2025 | 16.41% |
| Jan 31, 2025 | 18.33% |
| Oct 31, 2024 | 16.55% |
| Jul 31, 2024 | 15.66% |
| Apr 30, 2024 | 15.99% |
| Jan 31, 2024 | -3.45% |
| Oct 31, 2023 | 6.90% |
| Jul 31, 2023 | 16.60% |
| Apr 30, 2023 | 3.02% |
| Jan 31, 2023 | 3.06% |
| Oct 31, 2022 | -25.37% |
| Jul 31, 2022 | -37.87% |
| Apr 30, 2022 | -58.36% |
| Jan 31, 2022 | -5.89% |
| Oct 31, 2021 | 2.34% |
Frequency Electronics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FEIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();