Motorola Solutions (MSI) Change in Accrued Expenses (2009 - 2026)
Motorola Solutions' Change in Accrued Expenses was $47 million in Q3 2026, down 73.1% from $175 million a year earlier and down 42.7% from the prior quarter.
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Analysis
Motorola Solutions (MSI) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Motorola Solutions' Change in Accrued Expenses was $399 million through Oct 3, 2026, up 171.4% year-over-year; for FY2025, it came in at $280 million, down 7.3% from FY2024.
- In earlier years, Change in Accrued Expenses was $302 million in FY2024, -$144 million in FY2023, $451 million in FY2022 (-22.0%) and $578 million in FY2021.
- Quarterly Change in Accrued Expenses has moved between -$536 million (Q1 2023) and $634 million (Q4 2022) over five years.
- Compared with a year earlier, Change in Accrued Expenses was higher in two of the last four quarters, with an average decline of 11.9%.
- The best year-over-year quarter for Change in Accrued Expenses over five years was Q4 2021 (growth of 134.6%); the worst was Q3 2026 (a decline of 73.1%).
- Per Business Quant data, MSI's Change in Accrued Expenses in the three quarters before Q3 2026 was $82 million (Q2 2026), -$290 million (Q1 2026) and $560 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | - |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | -492.00 Mn |
| 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 | 47.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 138.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | -32.00 Mn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 497.00 Mn |
| 10 | TransDigm | 68.72 Bn | 56.73 Bn | 1.63 Bn | 301.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 47.00 Mn |
| Jul 4, 2026 | 82.00 Mn |
| Apr 4, 2026 | -290.00 Mn |
| Dec 31, 2025 | 560.00 Mn |
| Sep 27, 2025 | 175.00 Mn |
| Jun 28, 2025 | -280.00 Mn |
| Mar 29, 2025 | -175.00 Mn |
| Dec 31, 2024 | 427.00 Mn |
| Sep 28, 2024 | 206.00 Mn |
| Jun 29, 2024 | -241.00 Mn |
| Mar 30, 2024 | -90.00 Mn |
| Dec 31, 2023 | 390.00 Mn |
| Sep 30, 2023 | 217.00 Mn |
| Jul 1, 2023 | -215.00 Mn |
| Apr 1, 2023 | -536.00 Mn |
| Dec 31, 2022 | 634.00 Mn |
| Oct 1, 2022 | 116.00 Mn |
| Jul 2, 2022 | -111.00 Mn |
| Apr 2, 2022 | -188.00 Mn |
| Dec 31, 2021 | 617.00 Mn |
API Access
Motorola Solutions Change in Accrued 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=change-in-accured-expenses&ticker=MSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();