L3Harris Technologies (LHX) Operating Expenses (2009 - 2026)
L3Harris Technologies (LHX) reported Operating Expenses of $848 million for Q2 2027, up 11.0% from $764 million a year earlier and up 13.1% from the prior quarter.
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Analysis
L3Harris Technologies (LHX) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, L3Harris Technologies' Operating Expenses came in at $3.44 billion, up 4.1% year-over-year; for FY2026, it was $3.43 billion, down 3.9% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 0.9% (FY2021 to FY2026).
- By year, Operating Expenses came in at $3.57 billion in FY2025, $3.31 billion in FY2023 (+10.5%) and $3 billion in FY2022 (-8.6%).
- Five-year quarterly Operating Expenses spans a low of $750 million in Q1 2027 and a high of $970 million in Q1 2025.
- Year over year, Operating Expenses gained in two of the last six quarters, with an average decline of 1.6%.
- Per Business Quant data, the three quarters before Q2 2027 came in at $750 million (Q1 2027), $968 million (Q4 2026) and $873 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 312.43 Bn | 266.20 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 259.09 Bn | 230.57 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 150.88 Bn | 57.57 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 126.28 Bn | 113.00 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 92.90 Bn | 80.01 Bn | 2.18 Bn | 12.63 Bn |
| 6 | Howmet Aerospace | 84.06 Bn | 79.66 Bn | 951.00 Mn | 156.00 Mn |
| 7 | Motorola Solutions | 76.76 Bn | 73.11 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 75.88 Bn | 65.12 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.30 Bn | 19.43 Bn | 3.65 Bn | 1.87 Bn |
| 10 | L3Harris Technologies | 46.46 Bn | 42.94 Bn | 1.50 Bn | 848.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 848.00 Mn |
| Apr 3, 2026 | 750.00 Mn |
| Jan 2, 2026 | 968.00 Mn |
| Oct 3, 2025 | 873.00 Mn |
| Jun 27, 2025 | 764.00 Mn |
| Mar 28, 2025 | 825.00 Mn |
| Jan 3, 2025 | 790.00 Mn |
| Sep 27, 2024 | 924.00 Mn |
| Jun 28, 2024 | 884.00 Mn |
| Mar 29, 2024 | 970.00 Mn |
| Dec 29, 2023 | 925.00 Mn |
| Sep 29, 2023 | 828.00 Mn |
| Jun 30, 2023 | 787.00 Mn |
| Mar 31, 2023 | 773.00 Mn |
| Dec 30, 2022 | 759.00 Mn |
| Sep 30, 2022 | 742.00 Mn |
| Jul 1, 2022 | 744.00 Mn |
| Apr 1, 2022 | 745.00 Mn |
| Dec 31, 2021 | 795.00 Mn |
| Oct 1, 2021 | 793.00 Mn |
API Access
L3Harris Technologies Operating 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=operating-expenses&ticker=LHX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LHX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=LHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();