Rtx (RTX) Buildings (2009 - 2025)
Rtx's Buildings was $9.19 billion in Q4 2025, up 6.7% from $8.62 billion a year earlier.
Powered by 
Analysis
Rtx (RTX) Buildings (2009 - 2025) Analysis & Trends
From Q4 2009 onward, Rtx has reported Buildings for 17 quarters.
- Buildings has now increased for six consecutive years, with a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In earlier years, Buildings was $8.62 billion in FY2024 (+5.7%), $8.15 billion in FY2023 (+8.4%), $7.52 billion in FY2022 (+3.4%) and $7.27 billion in FY2021 (+2.9%).
- The Q4 2025 figure marks the highest quarterly Buildings in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | TransDigm | 61.31 Bn | 49.40 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.19 Bn |
| Dec 31, 2024 | 8.62 Bn |
| Dec 31, 2023 | 8.15 Bn |
| Dec 31, 2022 | 7.52 Bn |
| Dec 31, 2021 | 7.27 Bn |
| Dec 31, 2020 | 7.07 Bn |
| Dec 31, 2019 | 4.98 Bn |
| Dec 31, 2018 | 6.49 Bn |
| Dec 31, 2017 | 5.73 Bn |
| Dec 31, 2016 | 5.18 Bn |
| Dec 31, 2015 | 5.03 Bn |
| Dec 31, 2014 | 5.10 Bn |
| Dec 31, 2013 | 5.63 Bn |
| Dec 31, 2012 | 5.44 Bn |
| Dec 31, 2011 | 4.89 Bn |
| Dec 31, 2010 | 4.91 Bn |
| Dec 31, 2009 | 4.90 Bn |
API Access
Rtx Buildings 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=buildings&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();