Motorola Solutions (MSI) Return on Sales [ROS] (2009 - 2026)
Motorola Solutions (MSI) reported Return on Sales [ROS] of 23.02% for Q3 2026, down 2.57 percentage points from 25.59% a year earlier and down 2.81 percentage points from the prior quarter.
Motorola Solutions (MSI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Oct 3, 2026, Motorola Solutions' Return on Sales [ROS] came in at 24.24%, down 1.02 percentage points year-over-year; for FY2025, it was 25.58%, up 0.73 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +6.92 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 24.85% in FY2024 (+1.86 pp), 22.99% in FY2023 (+4.76 pp), 18.23% in FY2022 (-2.17 pp) and 20.40% in FY2021 (+1.75 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 12.63% in Q1 2022 and a high of 27.93% in Q4 2025.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of -0.19 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 9.28 percentage points); the low point was Q3 2022 (a drop of 5.69 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 25.82% (Q2 2026), 19.34% (Q1 2026) and 27.93% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | -47.62% |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 13.37% |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 1.46% |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 11.80% |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 10.48% |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 23.02% |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 28.75% |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 11.41% |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 14.82% |
| 10 | TransDigm | 68.72 Bn | 56.73 Bn | 1.63 Bn | 44.76% |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 23.02% |
| Jul 4, 2026 | 25.82% |
| Apr 4, 2026 | 19.34% |
| Dec 31, 2025 | 27.93% |
| Sep 27, 2025 | 25.59% |
| Jun 28, 2025 | 25.03% |
| Mar 29, 2025 | 23.02% |
| Dec 31, 2024 | 27.03% |
| Sep 28, 2024 | 25.48% |
| Jun 29, 2024 | 24.51% |
| Mar 30, 2024 | 21.72% |
| Dec 31, 2023 | 25.90% |
| Sep 30, 2023 | 25.00% |
| Jul 1, 2023 | 21.56% |
| Apr 1, 2023 | 18.38% |
| Dec 31, 2022 | 25.53% |
| Oct 1, 2022 | 15.72% |
| Jul 2, 2022 | 16.73% |
| Apr 2, 2022 | 12.63% |
| Dec 31, 2021 | 23.66% |
Motorola Solutions 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=MSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MSI", "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=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();