Rtx (RTX) Accumulated Expenses (2009 - 2023)
Rtx (RTX) recorded Accumulated Expenses of $14.92 billion in Q4 2023, up 35.6% from $11 billion a year earlier.
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Analysis
Rtx (RTX) Accumulated Expenses (2009 - 2023) Analysis & Trends
Starting with Q2 2009, Rtx's Accumulated Expenses history includes 55 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 7.9% (FY2018 to FY2023).
- Across earlier years, Accumulated Expenses came in at $11 billion in FY2022 (+8.2%), $10.16 billion in FY2021 (-3.4%), $10.52 billion in FY2020 (+24.9%) and $8.42 billion in FY2019 (-17.7%).
- The Q4 2023 figure is the highest quarterly Accumulated Expenses since Q1 2014.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 35.6% in Q4 2023, against a decline of 28.6% in Q3 2021 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 14.92 Bn |
| Mar 31, 2023 | 11.57 Bn |
| Dec 31, 2022 | 11.00 Bn |
| Sep 30, 2022 | 11.21 Bn |
| Jun 30, 2022 | 12.46 Bn |
| Mar 31, 2022 | 11.00 Bn |
| Dec 31, 2021 | 10.16 Bn |
| Sep 30, 2021 | 9.69 Bn |
| Jun 30, 2021 | 10.36 Bn |
| Mar 31, 2021 | 10.18 Bn |
| Dec 31, 2020 | 10.52 Bn |
| Sep 30, 2020 | 13.56 Bn |
| Jun 30, 2020 | 14.25 Bn |
| Mar 31, 2020 | 11.06 Bn |
| Dec 31, 2019 | 8.42 Bn |
| Sep 30, 2019 | 11.67 Bn |
| Jun 30, 2019 | 10.75 Bn |
| Mar 31, 2019 | 10.75 Bn |
| Dec 31, 2018 | 10.22 Bn |
| Sep 30, 2018 | 8.87 Bn |
API Access
Rtx Accumulated Expenses 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=accumulated-expenses&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();