Rtx (RTX) Gains from Sales and Divestitures (2018)
Rtx (RTX) recorded Gains from Sales and Divestitures of $415 million in FY2024.
Analysis
Rtx (RTX) Gains from Sales and Divestitures (2018) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 320.36 Bn | 274.13 Bn | 4.68 Bn |
| 2 | Rtx | 247.12 Bn | 218.60 Bn | 5.13 Bn |
| 3 | Boeing | 147.44 Bn | 54.13 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 115.87 Bn | 102.60 Bn | 2.45 Bn |
| 5 | General Dynamics | 89.87 Bn | 76.98 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 86.73 Bn | 82.33 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 74.51 Bn | 70.85 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.22 Bn | 57.46 Bn | 2.12 Bn |
| 9 | Honeywell International | 65.74 Bn | 17.87 Bn | 3.65 Bn |
| 10 | TransDigm | 63.64 Bn | 51.65 Bn | 1.63 Bn |
API Access
Rtx Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=RTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();