Motorola Solutions (MSI) EBITDA (2009 - 2026)
Motorola Solutions (MSI) recorded EBITDA of $957 million in Q2 2026, up 23.0% from $778 million a year earlier and up 43.3% from the prior quarter.
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Analysis
Motorola Solutions (MSI) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Motorola Solutions' EBITDA came in at $3.6 billion as of Jul 4, 2026, up 14.7% year-over-year; for FY2025, it was $3.41 billion, up 12.9% from FY2024.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $3.02 billion in FY2024 (+14.1%), $2.65 billion in FY2023 (+26.1%), $2.1 billion in FY2022 (-0.2%) and $2.11 billion in FY2021 (+17.5%).
- Quarterly EBITDA has ranged from $350 million in Q1 2022 to $1.09 billion in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for 15 consecutive quarters, with growth averaging 11.5% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 50.7% in Q3 2023, against a decline of 14.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $668 million (Q1 2026), $1.09 billion (Q4 2025) and $885 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 2.10 Bn |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 957.00 Mn |
| Apr 4, 2026 | 668.00 Mn |
| Dec 31, 2025 | 1.09 Bn |
| Sep 27, 2025 | 885.00 Mn |
| Jun 28, 2025 | 778.00 Mn |
| Mar 29, 2025 | 663.00 Mn |
| Dec 31, 2024 | 900.00 Mn |
| Sep 28, 2024 | 795.00 Mn |
| Jun 29, 2024 | 727.00 Mn |
| Mar 30, 2024 | 602.00 Mn |
| Dec 31, 2023 | 823.00 Mn |
| Sep 30, 2023 | 725.00 Mn |
| Jul 1, 2023 | 605.00 Mn |
| Apr 1, 2023 | 497.00 Mn |
| Dec 31, 2022 | 800.00 Mn |
| Oct 1, 2022 | 481.00 Mn |
| Jul 2, 2022 | 470.00 Mn |
| Apr 2, 2022 | 350.00 Mn |
| Dec 31, 2021 | 662.00 Mn |
| Oct 2, 2021 | 556.00 Mn |
API Access
Motorola Solutions EBITDA 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=ebitda&ticker=MSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();