Motorola Solutions (MSI) Total Current Liabilities (2009 - 2026)
Motorola Solutions (MSI) posted Total Current Liabilities of $5.58 billion for Q2 2026, up 25.0% from $4.46 billion a year earlier and up 0.4% from the prior quarter.
Motorola Solutions (MSI) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Motorola Solutions' Total Current Liabilities came in at $6.08 billion, up 20.2% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In prior years, Motorola Solutions' Total Current Liabilities was $5.06 billion in FY2024 (-11.9%), $5.74 billion in FY2023 (+25.8%), $4.56 billion in FY2022 (+12.2%) and $4.06 billion in FY2021 (+16.5%).
- Quarterly Total Current Liabilities has run from a low of $3.43 billion in Q3 2021 to a high of $6.08 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last four quarters, with growth averaging 7.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2023, with growth of 40.3%; the weakest was Q4 2024, with a decline of 11.9%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $5.56 billion (Q1 2026), $6.08 billion (Q4 2025) and $5.66 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | 40.43 Bn |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 63.25 Bn |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 109.56 Bn |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | 23.81 Bn |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 2.31 Bn |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 18.77 Bn |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 5.58 Bn |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | 13.35 Bn |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 23.19 Bn |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 2.57 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 5.58 Bn |
| Apr 4, 2026 | 5.56 Bn |
| Dec 31, 2025 | 6.08 Bn |
| Sep 27, 2025 | 5.66 Bn |
| Jun 28, 2025 | 4.46 Bn |
| Mar 29, 2025 | 4.92 Bn |
| Dec 31, 2024 | 5.06 Bn |
| Sep 28, 2024 | 4.67 Bn |
| Jun 29, 2024 | 4.64 Bn |
| Mar 30, 2024 | 4.63 Bn |
| Dec 31, 2023 | 5.74 Bn |
| Sep 30, 2023 | 5.29 Bn |
| Jul 1, 2023 | 3.77 Bn |
| Apr 1, 2023 | 3.97 Bn |
| Dec 31, 2022 | 4.56 Bn |
| Oct 1, 2022 | 3.77 Bn |
| Jul 2, 2022 | 3.80 Bn |
| Apr 2, 2022 | 3.89 Bn |
| Dec 31, 2021 | 4.06 Bn |
| Oct 2, 2021 | 3.43 Bn |
Motorola Solutions Total Current 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-current-liabilities&ticker=MSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();