Motorola Solutions (MSI) Change in Inventory (2009 - 2026)
Motorola Solutions' Change in Inventory was $148 million in Q3 2026, up 543.5% from $23 million a year earlier but down 5.1% from the prior quarter.
Motorola Solutions (MSI) Change in Inventory (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Motorola Solutions' Change in Inventory was $541 million through Oct 3, 2026, up 719.7% year-over-year; for FY2025, it was $145 million.
- Change in Inventory shows a five-year compound annual growth rate of 59.6% (FY2020 to FY2025).
- In earlier years, Change in Inventory was -$62 million in FY2024, -$200 million in FY2023, $242 million in FY2022 (-14.8%) and $284 million in FY2021.
- Quarterly Change in Inventory has moved between -$118 million (Q4 2022) and $199 million (Q1 2026) over five years.
- Compared with a year earlier, Change in Inventory has increased for three straight quarters, with growth averaging 469.4% over the last five quarters.
- The best year-over-year quarter for Change in Inventory over five years was Q1 2025 (growth of 785.7%); the worst was Q1 2023 (a decline of 84.0%).
- Per Business Quant data, MSI's Change in Inventory in the three quarters before Q3 2026 was $156 million (Q2 2026), $199 million (Q1 2026) and $38 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 322.00 Mn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 543.00 Mn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 2.87 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | -424.00 Mn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 27.00 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 148.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | -48.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | -53.00 Mn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | -184.00 Mn |
| 10 | TransDigm | 68.72 Bn | 56.73 Bn | 1.63 Bn | 87.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 148.00 Mn |
| Jul 4, 2026 | 156.00 Mn |
| Apr 4, 2026 | 199.00 Mn |
| Dec 31, 2025 | 38.00 Mn |
| Sep 27, 2025 | 23.00 Mn |
| Jun 28, 2025 | 22.00 Mn |
| Mar 29, 2025 | 62.00 Mn |
| Dec 31, 2024 | -41.00 Mn |
| Sep 28, 2024 | 8.00 Mn |
| Jun 29, 2024 | -36.00 Mn |
| Mar 30, 2024 | 7.00 Mn |
| Dec 31, 2023 | -106.00 Mn |
| Sep 30, 2023 | -58.00 Mn |
| Jul 1, 2023 | -62.00 Mn |
| Apr 1, 2023 | 26.00 Mn |
| Dec 31, 2022 | -118.00 Mn |
| Oct 1, 2022 | 83.00 Mn |
| Jul 2, 2022 | 115.00 Mn |
| Apr 2, 2022 | 162.00 Mn |
| Dec 31, 2021 | 185.00 Mn |
Motorola Solutions Change in Inventory 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=change-in-inventory&ticker=MSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();