Rtx (RTX) Shares Outstanding (Diluted) (2009 - 2026)
Rtx (RTX) reported Shares Outstanding (Diluted) of 1.37 billion for Q2 2026, up 0.8% from 1.35 billion a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Rtx (RTX) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Rtx posted Shares Outstanding (Diluted) of 1.36 billion, up 1.0% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- By year, 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 Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) since Q4 2023.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last six quarters, with an average decline of 1.0% over the last eight quarters.
- The high point for year-over-year 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 Q2 2026 came in at 1.36 billion (Q1 2026), 1.36 billion (Q4 2025) and 1.36 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 1.05 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 1.37 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 790.80 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 231.10 Mn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 402.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 273.52 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 167.20 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 142.40 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 318.60 Mn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 57.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.51 Bn |
API Access
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_KEYimport 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();