Motorola Solutions (MSI) Revenue (2009 - 2026)
Motorola Solutions (MSI) reported Revenue of $3.13 billion for Q2 2026, up 13.3% from $2.77 billion a year earlier and up 15.4% from the prior quarter.
Motorola Solutions (MSI) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Motorola Solutions' Revenue came in at $12.24 billion, up 10.3% year-over-year; for FY2025, it came in at $11.68 billion, up 8.0% from FY2024.
- Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- By year, Revenue came in at $10.82 billion in FY2024 (+8.4%), $9.98 billion in FY2023 (+9.5%), $9.11 billion in FY2022 (+11.5%) and $8.17 billion in FY2021 (+10.2%).
- Five-year quarterly Revenue spans a low of $1.89 billion in Q1 2022 and a high of $3.38 billion in Q4 2025.
- Year over year, Revenue has now increased in each of the last 22 quarters, with growth averaging 8.3% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 2.1% (Q4 2021) and 16.7% (Q4 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.71 billion (Q1 2026), $3.38 billion (Q4 2025) and $3.01 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 9.72 Bn |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 2.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 3.13 Bn |
| Apr 4, 2026 | 2.71 Bn |
| Dec 31, 2025 | 3.38 Bn |
| Sep 27, 2025 | 3.01 Bn |
| Jun 28, 2025 | 2.77 Bn |
| Mar 29, 2025 | 2.53 Bn |
| Dec 31, 2024 | 3.01 Bn |
| Sep 28, 2024 | 2.79 Bn |
| Jun 29, 2024 | 2.63 Bn |
| Mar 30, 2024 | 2.39 Bn |
| Dec 31, 2023 | 2.85 Bn |
| Sep 30, 2023 | 2.56 Bn |
| Jul 1, 2023 | 2.40 Bn |
| Apr 1, 2023 | 2.17 Bn |
| Dec 31, 2022 | 2.71 Bn |
| Oct 1, 2022 | 2.37 Bn |
| Jul 2, 2022 | 2.14 Bn |
| Apr 2, 2022 | 1.89 Bn |
| Dec 31, 2021 | 2.32 Bn |
| Oct 2, 2021 | 2.11 Bn |
Motorola Solutions Revenue 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=revenue&ticker=MSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();