Rtx (RTX) Revenue (2009 - 2026)
Rtx (RTX) recorded Revenue of $24.71 billion in Q2 2026, up 14.5% from $21.58 billion a year earlier and up 11.9% from the prior quarter.
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Analysis
Rtx (RTX) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Rtx's Revenue came in at $93.5 billion as of Jun 30, 2026, up 11.8% year-over-year; for FY2025, it came in at $88.6 billion, up 9.7% from FY2024.
- Annual Revenue has increased for seven straight years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $80.74 billion in FY2024 (+17.1%), $68.92 billion in FY2023 (+2.8%), $67.07 billion in FY2022 (+4.2%) and $64.39 billion in FY2021 (+13.8%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2009.
- On a year-over-year basis, Revenue has increased for 11 consecutive quarters, with growth averaging 14.9% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 49.2% in Q3 2024, against a decline of 20.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $22.08 billion (Q1 2026), $24.24 billion (Q4 2025) and $22.48 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 9.72 Bn |
| 10 | TransDigm | 61.31 Bn | 49.40 Bn | 1.63 Bn | 2.74 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.71 Bn |
| Mar 31, 2026 | 22.08 Bn |
| Dec 31, 2025 | 24.24 Bn |
| Sep 30, 2025 | 22.48 Bn |
| Jun 30, 2025 | 21.58 Bn |
| Mar 31, 2025 | 20.31 Bn |
| Dec 31, 2024 | 21.62 Bn |
| Sep 30, 2024 | 20.09 Bn |
| Jun 30, 2024 | 19.72 Bn |
| Mar 31, 2024 | 19.31 Bn |
| Dec 31, 2023 | 19.93 Bn |
| Sep 30, 2023 | 13.46 Bn |
| Jun 30, 2023 | 18.32 Bn |
| Mar 31, 2023 | 17.21 Bn |
| Dec 31, 2022 | 18.09 Bn |
| Sep 30, 2022 | 16.95 Bn |
| Jun 30, 2022 | 16.31 Bn |
| Mar 31, 2022 | 15.72 Bn |
| Dec 31, 2021 | 17.04 Bn |
| Sep 30, 2021 | 16.21 Bn |
API Access
Rtx Revenue 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=revenue&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();