Rtx (RTX) Selling, General & Administrative (2009 - 2026)
Rtx's Selling, General & Administrative was $1.92 billion in Q3 2026, up 33.6% from $1.44 billion a year earlier and up 15.7% from the prior quarter.
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Analysis
Rtx (RTX) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rtx's Selling, General & Administrative was $6.69 billion through Sep 30, 2026, up 10.9% year-over-year; for FY2025, it was $6.1 billion, up 5.0% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $5.81 billion in FY2024 (-0.1%), $5.81 billion in FY2023 (+4.2%), $5.57 billion in FY2022 (+10.4%) and $5.05 billion in FY2021 (-8.9%).
- The Q3 2026 figure marks the highest quarterly Selling, General & Administrative since Q1 2019.
- Compared with a year earlier, Selling, General & Administrative has increased for eight straight quarters, with growth averaging 8.7% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2026 (growth of 33.6%); the worst was Q2 2024 (a decline of 9.4%).
- Per Business Quant data, RTX's Selling, General & Administrative in the three quarters before Q3 2026 was $1.66 billion (Q2 2026), $1.48 billion (Q1 2026) and $1.64 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.54 Bn | 262.06 Bn | 5.02 Bn | 1.11 Bn |
| 2 | Rtx | 262.72 Bn | 230.99 Bn | 5.81 Bn | 1.92 Bn |
| 3 | Boeing | 148.13 Bn | 54.82 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 135.78 Bn | 122.50 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 94.57 Bn | 81.69 Bn | 2.18 Bn | 723.00 Mn |
| 6 | Motorola Solutions | 79.37 Bn | 75.71 Bn | 1.68 Bn | 496.00 Mn |
| 7 | Northrop Grumman | 78.67 Bn | 66.13 Bn | 2.35 Bn | 1.08 Bn |
| 8 | Howmet Aerospace | 77.61 Bn | 73.21 Bn | 951.00 Mn | 148.00 Mn |
| 9 | Honeywell International | 69.07 Bn | 21.20 Bn | 3.65 Bn | 1.34 Bn |
| 10 | TransDigm | 65.46 Bn | 53.46 Bn | 1.63 Bn | 332.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.92 Bn |
| Jun 30, 2026 | 1.66 Bn |
| Mar 31, 2026 | 1.48 Bn |
| Dec 31, 2025 | 1.64 Bn |
| Sep 30, 2025 | 1.44 Bn |
| Jun 30, 2025 | 1.57 Bn |
| Mar 31, 2025 | 1.45 Bn |
| Dec 31, 2024 | 1.57 Bn |
| Sep 30, 2024 | 1.39 Bn |
| Jun 30, 2024 | 1.45 Bn |
| Mar 31, 2024 | 1.39 Bn |
| Dec 31, 2023 | 1.45 Bn |
| Sep 30, 2023 | 1.40 Bn |
| Jun 30, 2023 | 1.60 Bn |
| Mar 31, 2023 | 1.36 Bn |
| Dec 31, 2022 | 1.39 Bn |
| Sep 30, 2022 | 1.35 Bn |
| Jun 30, 2022 | 1.42 Bn |
| Mar 31, 2022 | 1.47 Bn |
| Dec 31, 2021 | 1.23 Bn |
API Access
Rtx 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=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();