Rtx (RTX) EBITDA (2009 - 2026)
Rtx (RTX) recorded EBITDA of $3.89 billion in Q2 2026, up 20.7% from $3.22 billion a year earlier and up 7.3% from the prior quarter.
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Analysis
Rtx (RTX) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Rtx's EBITDA came in at $14.89 billion as of Jun 30, 2026, up 17.4% year-over-year; for FY2025, it came in at $13.68 billion, up 25.5% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 43.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $10.9 billion in FY2024 (+40.3%), $7.77 billion in FY2023 (-19.1%), $9.61 billion in FY2022 (-0.8%) and $9.69 billion in FY2021 (+327.6%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q3 2009.
- On a year-over-year basis, EBITDA has increased for seven consecutive quarters, with growth averaging 27.2% over the last seven quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 104.0% in Q4 2021, against a decline of 36.9% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.63 billion (Q1 2026), $3.76 billion (Q4 2025) and $3.61 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 308.22 Bn | 266.74 Bn | 5.02 Bn | -6.39 Bn |
| 2 | Rtx | 256.81 Bn | 225.08 Bn | 5.81 Bn | 4.41 Bn |
| 3 | Boeing | 152.21 Bn | 58.90 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 126.07 Bn | 112.79 Bn | 2.45 Bn | 2.88 Bn |
| 5 | General Dynamics | 93.38 Bn | 80.49 Bn | 2.18 Bn | 1.68 Bn |
| 6 | Howmet Aerospace | 82.34 Bn | 77.94 Bn | 951.00 Mn | 795.00 Mn |
| 7 | Motorola Solutions | 77.30 Bn | 73.65 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 76.71 Bn | 64.17 Bn | 2.35 Bn | 1.65 Bn |
| 9 | Honeywell International | 68.23 Bn | 20.35 Bn | 3.65 Bn | 2.10 Bn |
| 10 | TransDigm | 65.07 Bn | 53.08 Bn | 1.63 Bn | 1.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.41 Bn |
| Jun 30, 2026 | 3.89 Bn |
| Mar 31, 2026 | 3.63 Bn |
| Dec 31, 2025 | 3.76 Bn |
| Sep 30, 2025 | 3.61 Bn |
| Jun 30, 2025 | 3.22 Bn |
| Mar 31, 2025 | 3.09 Bn |
| Dec 31, 2024 | 3.25 Bn |
| Sep 30, 2024 | 3.12 Bn |
| Jun 30, 2024 | 1.60 Bn |
| Mar 31, 2024 | 2.93 Bn |
| Dec 31, 2023 | 2.84 Bn |
| Sep 30, 2023 | -322.00 Mn |
| Jun 30, 2023 | 2.54 Bn |
| Mar 31, 2023 | 2.72 Bn |
| Dec 31, 2022 | 2.54 Bn |
| Sep 30, 2022 | 2.57 Bn |
| Jun 30, 2022 | 2.35 Bn |
| Mar 31, 2022 | 2.09 Bn |
| Dec 31, 2021 | 2.64 Bn |
API Access
Rtx EBITDA 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=ebitda&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();