Heico (HEI) Return on Sales [ROS] (2009 - 2026)
Heico's Return on Sales [ROS] came in at 25.14% for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 2.04 percentage points from 23.09% a year earlier but down 0.34 percentage points from the prior quarter.
Heico (HEI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Heico reported Return on Sales [ROS] of 24.04%, up 1.69 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 22.72%, up 1.35 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +1.64 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was 21.37% in FY2024 (+0.30 pp), 21.07% in FY2023 (-1.43 pp), 22.50% in FY2022 (+1.44 pp) and 21.06% in FY2021 (-0.02 pp).
- The five-year range for quarterly Return on Sales [ROS] is 20.10% (fiscal Q1 2024) to 25.47% (fiscal Q2 2026).
- Year-over-year, Return on Sales [ROS] has increased for nine consecutive quarters, with an average year-over-year change of +1.46 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2026 (a gain of 2.87 percentage points), and the weakest in fiscal Q4 2023 (a drop of 3.80 percentage points).
- Business Quant data shows HEI's Return on Sales [ROS] at 25.47% (Q2 2026), 22.05% (Q1 2026) and 23.07% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | Heico | 42.23 Bn | 41.92 Bn | 580.99 Mn | 25.14% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 25.14% |
| Apr 30, 2026 | 25.47% |
| Jan 31, 2026 | 22.05% |
| Oct 31, 2025 | 23.07% |
| Jul 31, 2025 | 23.09% |
| Apr 30, 2025 | 22.60% |
| Jan 31, 2025 | 22.02% |
| Oct 31, 2024 | 21.57% |
| Jul 31, 2024 | 21.81% |
| Apr 30, 2024 | 21.89% |
| Jan 31, 2024 | 20.10% |
| Oct 31, 2023 | 20.23% |
| Jul 31, 2023 | 20.66% |
| Apr 30, 2023 | 22.84% |
| Jan 31, 2023 | 20.85% |
| Oct 31, 2022 | 24.03% |
| Jul 31, 2022 | 22.61% |
| Apr 30, 2022 | 22.79% |
| Jan 31, 2022 | 20.15% |
| Oct 31, 2021 | 22.58% |
Heico 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=HEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HEI", "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=HEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();