L3Harris Technologies (LHX) Selling, General & Administrative (2019 - 2026)
L3Harris Technologies' Selling, General & Administrative was $848 million in Q2 2027, up 11.0% from $764 million a year earlier and up 13.1% from the prior quarter.
L3Harris Technologies (LHX) Selling, General & Administrative (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, L3Harris Technologies' Selling, General & Administrative was $3.44 billion through Jul 3, 2026, up 4.1% year-over-year; for FY2026, it came in at $3.43 billion, down 3.9% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of 0.9% (FY2021 to FY2026).
- In earlier years, Selling, General & Administrative was $3.57 billion in FY2025, $3.31 billion in FY2023 (+10.5%) and $3 billion in FY2022 (-8.6%).
- Quarterly Selling, General & Administrative has moved between $750 million (Q1 2027) and $970 million (Q1 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last six quarters, with an average decline of 1.6%.
- Per Business Quant data, LHX's Selling, General & Administrative in the three quarters before Q2 2027 was $750 million (Q1 2027), $968 million (Q4 2026) and $873 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 1.13 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 1.66 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 723.00 Mn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 148.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 496.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 1.03 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 1.34 Bn |
| 10 | L3Harris Technologies | 45.44 Bn | 41.92 Bn | 1.50 Bn | 848.00 Mn |
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 |
L3Harris Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=LHX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();