Motorola Solutions (MSI) Accumulated Expenses (2009 - 2026)
Motorola Solutions' Accumulated Expenses came in at $1.84 billion for Q3 2026, up 7.1% from $1.72 billion a year earlier and up 10.4% from the prior quarter.
Powered by 
Analysis
Motorola Solutions (MSI) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Motorola Solutions' Accumulated Expenses was $1.93 billion, up 17.5% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $1.64 billion in FY2024 (+9.2%), $1.5 billion in FY2023 (-8.2%), $1.64 billion in FY2022 (+5.2%) and $1.56 billion in FY2021 (+18.8%).
- The five-year range for quarterly Accumulated Expenses is $1.32 billion (Q2 2022) to $1.93 billion (Q4 2025).
- Year-over-year, Accumulated Expenses has increased for 11 consecutive quarters, with growth averaging 9.8% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2022 (growth of 24.0%), and the weakest in Q4 2023 (a decline of 8.2%).
- Business Quant data shows MSI's Accumulated Expenses at $1.67 billion (Q2 2026), $1.79 billion (Q1 2026) and $1.93 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | TransDigm | 68.72 Bn | 56.73 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 1.84 Bn |
| Jul 4, 2026 | 1.67 Bn |
| Apr 4, 2026 | 1.79 Bn |
| Dec 31, 2025 | 1.93 Bn |
| Sep 27, 2025 | 1.72 Bn |
| Jun 28, 2025 | 1.47 Bn |
| Mar 29, 2025 | 1.77 Bn |
| Dec 31, 2024 | 1.64 Bn |
| Sep 28, 2024 | 1.53 Bn |
| Jun 29, 2024 | 1.37 Bn |
| Mar 30, 2024 | 1.60 Bn |
| Dec 31, 2023 | 1.50 Bn |
| Sep 30, 2023 | 1.36 Bn |
| Jul 1, 2023 | 1.33 Bn |
| Apr 1, 2023 | 1.45 Bn |
| Dec 31, 2022 | 1.64 Bn |
| Oct 1, 2022 | 1.33 Bn |
| Jul 2, 2022 | 1.32 Bn |
| Apr 2, 2022 | 1.47 Bn |
| Dec 31, 2021 | 1.56 Bn |
API Access
Motorola Solutions Accumulated Expenses 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=accumulated-expenses&ticker=MSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();