Rtx (RTX) Shares Outstanding (Diluted) (2009 - 2026)
Rtx (RTX) reported Weighted Average Shares Outstanding (Diluted) of 1.37 billion for Q3 2026, up 0.7% from 1.36 billion a year earlier and up 0.2% from the prior quarter.
Rtx (RTX) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Rtx posted Weighted Average Shares Outstanding (Diluted) of 1.36 billion, up 1.0% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 1.34 billion in FY2024 (-6.4%), 1.44 billion in FY2023 (-3.4%), 1.49 billion in FY2022 (-1.5%) and 1.51 billion in FY2021 (+11.1%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2023.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last seven quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 11.1%); the low point was Q1 2024 (a decline of 9.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 1.37 billion (Q2 2026), 1.36 billion (Q1 2026) and 1.36 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 295.43 Bn | 253.94 Bn | 5.02 Bn | 1.04 Bn |
| 2 | Rtx | 258.65 Bn | 226.92 Bn | 5.81 Bn | 1.37 Bn |
| 3 | Boeing | 148.98 Bn | 55.67 Bn | 2.41 Bn | 790.80 Mn |
| 4 | Lockheed Martin | 139.53 Bn | 123.76 Bn | 2.44 Bn | 231.50 Mn |
| 5 | General Dynamics | 94.40 Bn | 81.52 Bn | 2.18 Bn | 273.52 Mn |
| 6 | Motorola Solutions | 79.77 Bn | 76.11 Bn | 1.68 Bn | 167.20 Mn |
| 7 | Northrop Grumman | 78.39 Bn | 65.85 Bn | 2.35 Bn | 142.40 Mn |
| 8 | Howmet Aerospace | 74.22 Bn | 69.82 Bn | 951.00 Mn | 402.00 Mn |
| 9 | Honeywell International | 70.30 Bn | 22.42 Bn | 3.65 Bn | 318.60 Mn |
| 10 | TransDigm | 63.46 Bn | 51.47 Bn | 1.63 Bn | 57.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.37 Bn |
| Jun 30, 2026 | 1.37 Bn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 1.36 Bn |
| Sep 30, 2025 | 1.36 Bn |
| Jun 30, 2025 | 1.35 Bn |
| Mar 31, 2025 | 1.35 Bn |
| Dec 31, 2024 | 1.34 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 1.34 Bn |
| Mar 31, 2024 | 1.34 Bn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | 1.45 Bn |
| Jun 30, 2023 | 1.47 Bn |
| Mar 31, 2023 | 1.47 Bn |
| Dec 31, 2022 | 1.49 Bn |
| Sep 30, 2022 | 1.48 Bn |
| Jun 30, 2022 | 1.49 Bn |
| Mar 31, 2022 | 1.50 Bn |
| Dec 31, 2021 | 1.51 Bn |
Rtx 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=RTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "RTX", "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=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();