Motorola Solutions (MSI) Return on Capital Employed [ROCE] (2011 - 2026)
Motorola Solutions (MSI) recorded Return on Capital Employed [ROCE] of 22.44% in Q2 2026, down 3.10 percentage points from 25.54% a year earlier but up 1.01 percentage points from the prior quarter.
Motorola Solutions (MSI) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Motorola Solutions reported Return on Capital Employed [ROCE] of 27.38%, down 2.79 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +8.35 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 30.17% in FY2024 (-1.09 pp), 31.26% in FY2023 (+10.34 pp), 20.92% in FY2022 (-1.40 pp) and 22.32% in FY2021 (+3.29 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from 19.28% in Q3 2022 to 32.08% in Q4 2023 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for five consecutive quarters, with an average year-over-year change of -3.77 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 12.57 percentage points in Q3 2023, against a drop of 7.25 percentage points in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 21.43% (Q1 2026), 22.96% (Q4 2025) and 23.92% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | -26.86% |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 9.62% |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 8.25% |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | 24.71% |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 22.99% |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 13.87% |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 22.44% |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | 12.41% |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 15.09% |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 19.59% |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 22.44% |
| Apr 4, 2026 | 21.43% |
| Dec 31, 2025 | 22.96% |
| Sep 27, 2025 | 23.92% |
| Jun 28, 2025 | 25.54% |
| Mar 29, 2025 | 28.68% |
| Dec 31, 2024 | 29.26% |
| Sep 28, 2024 | 29.18% |
| Jun 29, 2024 | 29.22% |
| Mar 30, 2024 | 27.73% |
| Dec 31, 2023 | 32.08% |
| Sep 30, 2023 | 31.85% |
| Jul 1, 2023 | 23.21% |
| Apr 1, 2023 | 21.13% |
| Dec 31, 2022 | 21.69% |
| Oct 1, 2022 | 19.28% |
| Jul 2, 2022 | 20.32% |
| Apr 2, 2022 | 20.03% |
| Dec 31, 2021 | 21.54% |
| Oct 2, 2021 | 21.33% |
Motorola Solutions Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=MSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();