Motorola Solutions (MSI) Total Liabilities (2009 - 2026)
Motorola Solutions (MSI) posted Total Liabilities of $16.55 billion for Q2 2026, up 14.7% from $14.43 billion a year earlier and up 0.2% from the prior quarter.
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Analysis
Motorola Solutions (MSI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Motorola Solutions' Total Liabilities came in at $16.96 billion, up 31.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In prior years, Motorola Solutions' Total Liabilities was $12.88 billion in FY2024 (+2.2%), $12.6 billion in FY2023 (-0.7%), $12.68 billion in FY2022 (+3.7%) and $12.23 billion in FY2021 (+7.0%).
- Quarterly Total Liabilities has run from a low of $11.69 billion in Q3 2021 to a high of $16.96 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 16.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 31.7%; the weakest was Q2 2023, with a decline of 1.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $16.52 billion (Q1 2026), $16.96 billion (Q4 2025) and $16.46 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 58.49 Bn |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 36.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 16.55 Bn |
| Apr 4, 2026 | 16.52 Bn |
| Dec 31, 2025 | 16.96 Bn |
| Sep 27, 2025 | 16.46 Bn |
| Jun 28, 2025 | 14.43 Bn |
| Mar 29, 2025 | 12.77 Bn |
| Dec 31, 2024 | 12.88 Bn |
| Sep 28, 2024 | 12.55 Bn |
| Jun 29, 2024 | 12.53 Bn |
| Mar 30, 2024 | 12.79 Bn |
| Dec 31, 2023 | 12.60 Bn |
| Sep 30, 2023 | 12.06 Bn |
| Jul 1, 2023 | 11.90 Bn |
| Apr 1, 2023 | 12.10 Bn |
| Dec 31, 2022 | 12.68 Bn |
| Oct 1, 2022 | 12.03 Bn |
| Jul 2, 2022 | 12.12 Bn |
| Apr 2, 2022 | 11.97 Bn |
| Dec 31, 2021 | 12.23 Bn |
| Oct 2, 2021 | 11.69 Bn |
API Access
Motorola Solutions Total Liabilities 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=total-liabilities&ticker=MSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();