Motorola Solutions (MSI) Cash & Equivalents (2009 - 2026)
Motorola Solutions (MSI) recorded Cash & Equivalents of $774 million in Q3 2026, down 13.4% from $894 million a year earlier but up 9.0% from the prior quarter.
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Analysis
Motorola Solutions (MSI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Motorola Solutions reported Cash & Equivalents of $1.17 billion, down 44.6% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $2.1 billion in FY2024 (+23.3%), $1.71 billion in FY2023 (+28.7%), $1.33 billion in FY2022 (-29.3%) and $1.87 billion in FY2021 (+49.4%).
- Quarterly Cash & Equivalents has ranged from $710 million in Q2 2023 to $3.21 billion in Q2 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for five consecutive quarters, with an average decline of 7.1% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 132.2% in Q2 2025, against a decline of 77.9% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $710 million (Q2 2026), $886 million (Q1 2026) and $1.17 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 8.76 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 9.17 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 9.50 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 5.96 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 4.40 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 774.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 507.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 3.74 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 5.69 Bn |
| 10 | TransDigm | 68.72 Bn | 56.73 Bn | 1.63 Bn | 2.77 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 774.00 Mn |
| Jul 4, 2026 | 710.00 Mn |
| Apr 4, 2026 | 886.00 Mn |
| Dec 31, 2025 | 1.17 Bn |
| Sep 27, 2025 | 894.00 Mn |
| Jun 28, 2025 | 3.21 Bn |
| Mar 29, 2025 | 1.56 Bn |
| Dec 31, 2024 | 2.10 Bn |
| Sep 28, 2024 | 1.40 Bn |
| Jun 29, 2024 | 1.38 Bn |
| Mar 30, 2024 | 1.51 Bn |
| Dec 31, 2023 | 1.71 Bn |
| Sep 30, 2023 | 910.00 Mn |
| Jul 1, 2023 | 710.00 Mn |
| Apr 1, 2023 | 1.02 Bn |
| Dec 31, 2022 | 1.33 Bn |
| Oct 1, 2022 | 822.00 Mn |
| Jul 2, 2022 | 717.00 Mn |
| Apr 2, 2022 | 878.00 Mn |
| Dec 31, 2021 | 1.87 Bn |
API Access
Motorola Solutions Cash & Equivalents 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=cash-and-equivalents&ticker=MSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();