Rtx (RTX) Cash from Operations (2009 - 2026)
Rtx (RTX) recorded Cash from Operations of $2.87 billion in Q3 2026, down 38.2% from $4.64 billion a year earlier and down 19.1% from the prior quarter.
Powered by 
Analysis
Rtx (RTX) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Rtx's Cash from Operations came in at $12.44 billion as of Sep 30, 2026, up 56.2% year-over-year; for FY2025, it was $10.57 billion, up 47.6% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $7.16 billion in FY2024 (-9.2%), $7.88 billion in FY2023 (+10.0%), $7.17 billion in FY2022 (+0.4%) and $7.14 billion in FY2021 (+64.8%).
- Quarterly Cash from Operations has ranged from -$863 million in Q1 2023 to $4.71 billion in Q4 2023 over the past five years.
- On a year-over-year basis, Cash from Operations rose in five of the last eight quarters, with growth averaging 132.6%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 674.5% in Q2 2026, against a decline of 83.2% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.55 billion (Q2 2026), $1.86 billion (Q1 2026) and $4.17 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 348.08 Bn | 306.60 Bn | 5.02 Bn | 2.20 Bn |
| 2 | Rtx | 265.63 Bn | 233.90 Bn | 5.81 Bn | 2.87 Bn |
| 3 | Boeing | 136.74 Bn | 45.69 Bn | 2.17 Bn | 1.50 Bn |
| 4 | Lockheed Martin | 135.57 Bn | 119.80 Bn | 2.44 Bn | 3.44 Bn |
| 5 | General Dynamics | 97.85 Bn | 83.08 Bn | 2.25 Bn | 1.71 Bn |
| 6 | Motorola Solutions | 87.60 Bn | 84.06 Bn | 1.77 Bn | 662.00 Mn |
| 7 | Howmet Aerospace | 85.98 Bn | 81.73 Bn | 1.00 Bn | 709.00 Mn |
| 8 | Northrop Grumman | 76.55 Bn | 64.01 Bn | 2.35 Bn | 1.75 Bn |
| 9 | Honeywell International | 72.76 Bn | 32.28 Bn | 2.02 Bn | 306.00 Mn |
| 10 | TransDigm | 70.04 Bn | 58.05 Bn | 1.63 Bn | 724.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.87 Bn |
| Jun 30, 2026 | 3.55 Bn |
| Mar 31, 2026 | 1.86 Bn |
| Dec 31, 2025 | 4.17 Bn |
| Sep 30, 2025 | 4.64 Bn |
| Jun 30, 2025 | 458.00 Mn |
| Mar 31, 2025 | 1.31 Bn |
| Dec 31, 2024 | 1.56 Bn |
| Sep 30, 2024 | 2.52 Bn |
| Jun 30, 2024 | 2.73 Bn |
| Mar 31, 2024 | 342.00 Mn |
| Dec 31, 2023 | 4.71 Bn |
| Sep 30, 2023 | 3.32 Bn |
| Jun 30, 2023 | 719.00 Mn |
| Mar 31, 2023 | -863.00 Mn |
| Dec 31, 2022 | 4.63 Bn |
| Sep 30, 2022 | 778.00 Mn |
| Jun 30, 2022 | 1.29 Bn |
| Mar 31, 2022 | 476.00 Mn |
| Dec 31, 2021 | 3.16 Bn |
API Access
Rtx Cash from Operations 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=cash-from-operations&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();