Motorola Solutions (MSI) Retained Earnings (2009 - 2026)
Motorola Solutions (MSI) posted Retained Earnings of $2.63 billion for Q2 2026, up 12.5% from $2.34 billion a year earlier and up 1.2% from the prior quarter.
Motorola Solutions (MSI) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Motorola Solutions' Retained Earnings came in at $2.55 billion, up 10.8% from FY2024.
- Annual Retained Earnings has increased for three consecutive years, with a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- In prior years, Motorola Solutions' Retained Earnings was $2.3 billion in FY2024 (+40.2%), $1.64 billion in FY2023 (+22.1%), $1.34 billion in FY2022 (-0.5%) and $1.35 billion in FY2021 (+19.8%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings since Q2 2015.
- On a year-over-year basis, Retained Earnings has increased in each of the last 14 quarters, with growth averaging 33.1% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q1 2025, with growth of 58.9%; the weakest was Q2 2022, with a decline of 18.7%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $2.6 billion (Q1 2026), $2.55 billion (Q4 2025) and $2.59 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | 90.95 Bn |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 58.02 Bn |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 16.63 Bn |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | 15.76 Bn |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 5.11 Bn |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 45.50 Bn |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 2.63 Bn |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | 17.84 Bn |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 55.96 Bn |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | -9.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 2.63 Bn |
| Apr 4, 2026 | 2.60 Bn |
| Dec 31, 2025 | 2.55 Bn |
| Sep 27, 2025 | 2.59 Bn |
| Jun 28, 2025 | 2.34 Bn |
| Mar 29, 2025 | 2.22 Bn |
| Dec 31, 2024 | 2.30 Bn |
| Sep 28, 2024 | 1.97 Bn |
| Jun 29, 2024 | 1.61 Bn |
| Mar 30, 2024 | 1.40 Bn |
| Dec 31, 2023 | 1.64 Bn |
| Sep 30, 2023 | 1.33 Bn |
| Jul 1, 2023 | 1.33 Bn |
| Apr 1, 2023 | 1.33 Bn |
| Dec 31, 2022 | 1.34 Bn |
| Oct 1, 2022 | 989.00 Mn |
| Jul 2, 2022 | 936.00 Mn |
| Apr 2, 2022 | 1.00 Bn |
| Dec 31, 2021 | 1.35 Bn |
| Oct 2, 2021 | 1.20 Bn |
Motorola Solutions Retained Earnings 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=retained-earnings&ticker=MSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();