Motorola Solutions (MSI) Change in Accured Expenses (2009 - 2026)
Motorola Solutions' Change in Accured Expenses was $82 million in Q2 2026, compared with -$280 million a year earlier.
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Analysis
Motorola Solutions (MSI) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Motorola Solutions' Change in Accured Expenses was $527 million through Jul 4, 2026, up 196.1% year-over-year; for FY2025, it came in at $280 million, down 7.3% from FY2024.
- In earlier years, Change in Accured Expenses was $302 million in FY2024, -$144 million in FY2023, $451 million in FY2022 (-22.0%) and $578 million in FY2021.
- Quarterly Change in Accured Expenses has moved between -$536 million (Q1 2023) and $634 million (Q4 2022) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 5.1%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2021 (growth of 245.3%); the worst was Q3 2022 (a decline of 55.2%).
- Per Business Quant data, MSI's Change in Accured Expenses in the three quarters before Q2 2026 was -$290 million (Q1 2026), $560 million (Q4 2025) and $175 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | - |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 41.00 Mn |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 82.00 Mn |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 895.00 Mn |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 301.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Oct 2, 2021 | 259.00 Mn |
API Access
Motorola Solutions Change in Accured 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();