Motorola Solutions (MSI) Property, Plant & Equipment (Net) (2009 - 2026)
Motorola Solutions (MSI) reported Property, Plant & Equipment (Net) of $1.2 billion for Q3 2026, up 9.5% from $1.1 billion a year earlier and up 3.1% from the prior quarter.
Motorola Solutions (MSI) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Motorola Solutions posted Property, Plant & Equipment (Net) of $1.17 billion, up 14.0% from FY2024.
- Property, Plant & Equipment (Net) has increased for three consecutive years, with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $1.02 billion in FY2024 (+6.0%), $964 million in FY2023 (+4.0%), $927 million in FY2022 (-11.0%) and $1.04 billion in FY2021 (+2.0%).
- The Q3 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) since Q3 2010.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last 13 quarters, with growth averaging 9.3% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2025 (growth of 14.0%); the low point was Q3 2022 (a decline of 15.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.17 billion (Q2 2026), $1.16 billion (Q1 2026) and $1.17 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 8.33 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 17.24 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 16.69 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 11.52 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 7.85 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 1.20 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 2.91 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 10.46 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 2.71 Bn |
| 10 | TransDigm | 68.72 Bn | 56.73 Bn | 1.63 Bn | 1.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 1.20 Bn |
| Jul 4, 2026 | 1.17 Bn |
| Apr 4, 2026 | 1.16 Bn |
| Dec 31, 2025 | 1.17 Bn |
| Sep 27, 2025 | 1.10 Bn |
| Jun 28, 2025 | 1.07 Bn |
| Mar 29, 2025 | 1.04 Bn |
| Dec 31, 2024 | 1.02 Bn |
| Sep 28, 2024 | 1.02 Bn |
| Jun 29, 2024 | 987.00 Mn |
| Mar 30, 2024 | 957.00 Mn |
| Dec 31, 2023 | 964.00 Mn |
| Sep 30, 2023 | 931.00 Mn |
| Jul 1, 2023 | 935.00 Mn |
| Apr 1, 2023 | 927.00 Mn |
| Dec 31, 2022 | 927.00 Mn |
| Oct 1, 2022 | 866.00 Mn |
| Jul 2, 2022 | 1.04 Bn |
| Apr 2, 2022 | 1.08 Bn |
| Dec 31, 2021 | 1.04 Bn |
Motorola Solutions Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();