Motorola Solutions (MSI) Capital Expenditures (2009 - 2026)
Motorola Solutions' Capital Expenditures was $55 million in Q2 2026, up 14.6% from $48 million a year earlier but down 11.3% from the prior quarter.
Motorola Solutions (MSI) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Motorola Solutions' Capital Expenditures was $297 million through Jul 4, 2026, up 30.3% year-over-year; for FY2025, it was $265 million, up 3.1% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $257 million in FY2024 (+1.6%), $253 million in FY2023 (-1.2%), $256 million in FY2022 (+5.3%) and $243 million in FY2021 (+12.0%).
- Quarterly Capital Expenditures has moved between $37 million (Q1 2025) and $114 million (Q4 2025) over five years.
- Compared with a year earlier, Capital Expenditures has increased for four straight quarters, with growth averaging 9.4% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2026 (growth of 67.6%); the worst was Q2 2025 (a decline of 29.4%).
- Per Business Quant data, MSI's Capital Expenditures in the three quarters before Q2 2026 was $62 million (Q1 2026), $114 million (Q4 2025) and $66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 315.00 Mn |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 74.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 55.00 Mn |
| Apr 4, 2026 | 62.00 Mn |
| Dec 31, 2025 | 114.00 Mn |
| Sep 27, 2025 | 66.00 Mn |
| Jun 28, 2025 | 48.00 Mn |
| Mar 29, 2025 | 37.00 Mn |
| Dec 31, 2024 | 86.00 Mn |
| Sep 28, 2024 | 57.00 Mn |
| Jun 29, 2024 | 68.00 Mn |
| Mar 30, 2024 | 46.00 Mn |
| Dec 31, 2023 | 81.00 Mn |
| Sep 30, 2023 | 65.00 Mn |
| Jul 1, 2023 | 53.00 Mn |
| Apr 1, 2023 | 54.00 Mn |
| Dec 31, 2022 | 73.00 Mn |
| Oct 1, 2022 | 70.00 Mn |
| Jul 2, 2022 | 59.00 Mn |
| Apr 2, 2022 | 54.00 Mn |
| Dec 31, 2021 | 68.00 Mn |
| Oct 2, 2021 | 61.00 Mn |
Motorola Solutions Capital Expenditures 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=capital-expenditures&ticker=MSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();