L3Harris Technologies (LHX) Shares Outstanding (Diluted) (2009 - 2026)
L3Harris Technologies (LHX) posted Weighted Average Shares Outstanding (Diluted) of 187.3 million for Q3 2027, down 0.4% from 188.1 million a year earlier and unchanged from the prior quarter.
L3Harris Technologies (LHX) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026, L3Harris Technologies' Weighted Average Shares Outstanding (Diluted) came in at 188.4 million, down 1.2% from FY2025.
- Annual Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -1.5% (FY2021 to FY2026).
- In prior years, L3Harris Technologies' Weighted Average Shares Outstanding (Diluted) was 190.7 million in FY2025, 190.6 million in FY2023 (-1.5%) and 193.5 million in FY2022 (-4.8%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 187.3 million in Q2 2027 to a high of 190.8 million in Q1 2025 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined in each of the last seven quarters, with an average decline of 0.9% over the last seven quarters.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 187.3 million (Q2 2027), 188.1 million (Q1 2027) and 188.4 million (Q4 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 1.04 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.37 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 792.90 Mn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 231.50 Mn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 273.78 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 167.40 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 400.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 142.40 Mn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 319.20 Mn |
| 10 | L3Harris Technologies | 48.45 Bn | 42.25 Bn | 1.61 Bn | 187.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 187.30 Mn |
| Jul 3, 2026 | 187.30 Mn |
| Apr 3, 2026 | 188.10 Mn |
| Jan 2, 2026 | 188.40 Mn |
| Oct 3, 2025 | 188.10 Mn |
| Jun 27, 2025 | 187.80 Mn |
| Mar 28, 2025 | 189.10 Mn |
| Jan 3, 2025 | 190.70 Mn |
| Sep 27, 2024 | 190.50 Mn |
| Jun 28, 2024 | 190.60 Mn |
| Mar 29, 2024 | 190.80 Mn |
| Dec 29, 2023 | 190.60 Mn |
| Sep 29, 2023 | 190.10 Mn |
| Jun 30, 2023 | 190.10 Mn |
| Mar 31, 2023 | 191.20 Mn |
| Dec 30, 2022 | 193.50 Mn |
| Sep 30, 2022 | 191.30 Mn |
| Jul 1, 2022 | 194.00 Mn |
| Apr 1, 2022 | 195.10 Mn |
| Dec 31, 2021 | 203.20 Mn |
L3Harris Technologies Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=LHX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=LHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();