Rtx (RTX) Cash & Equivalents (2010 - 2026)
Rtx (RTX) reported Cash & Equivalents of $9.17 billion for Q3 2026, up 53.8% from $5.97 billion a year earlier and up 10.5% from the prior quarter.
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Analysis
Rtx (RTX) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Rtx posted Cash & Equivalents of $7.44 billion, up 33.3% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $5.58 billion in FY2024 (-15.3%), $6.59 billion in FY2023 (+5.9%), $6.22 billion in FY2022 (-20.6%) and $7.83 billion in FY2021 (-11.0%).
- The Q3 2026 figure ranks as the highest quarterly Cash & Equivalents since Q3 2020.
- Year over year, Cash & Equivalents has now increased in each of the last four quarters, with growth averaging 17.3% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2026 (growth of 73.7%); the low point was Q2 2022 (a decline of 40.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $8.31 billion (Q2 2026), $6.82 billion (Q1 2026) and $7.44 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 295.17 Bn | 253.91 Bn | 5.02 Bn | 8.76 Bn |
| 2 | Rtx | 257.77 Bn | 227.75 Bn | 5.81 Bn | 9.17 Bn |
| 3 | Boeing | 148.82 Bn | 55.52 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 139.64 Bn | 123.87 Bn | 2.44 Bn | 5.96 Bn |
| 5 | General Dynamics | 94.53 Bn | 81.64 Bn | 2.18 Bn | 4.33 Bn |
| 6 | Motorola Solutions | 79.77 Bn | 76.13 Bn | 1.68 Bn | 710.00 Mn |
| 7 | Northrop Grumman | 78.36 Bn | 65.81 Bn | 2.35 Bn | 3.74 Bn |
| 8 | Howmet Aerospace | 74.35 Bn | 69.95 Bn | 951.00 Mn | 563.00 Mn |
| 9 | Honeywell International | 70.09 Bn | 22.54 Bn | 3.65 Bn | 8.75 Bn |
| 10 | TransDigm | 61.13 Bn | 49.21 Bn | 1.63 Bn | 2.77 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.17 Bn |
| Jun 30, 2026 | 8.31 Bn |
| Mar 31, 2026 | 6.82 Bn |
| Dec 31, 2025 | 7.44 Bn |
| Sep 30, 2025 | 5.97 Bn |
| Jun 30, 2025 | 4.78 Bn |
| Mar 31, 2025 | 5.16 Bn |
| Dec 31, 2024 | 5.58 Bn |
| Sep 30, 2024 | 6.68 Bn |
| Jun 30, 2024 | 6.01 Bn |
| Mar 31, 2024 | 5.61 Bn |
| Dec 31, 2023 | 6.59 Bn |
| Sep 30, 2023 | 5.46 Bn |
| Jun 30, 2023 | 5.39 Bn |
| Mar 31, 2023 | 5.89 Bn |
| Dec 31, 2022 | 6.22 Bn |
| Sep 30, 2022 | 5.38 Bn |
| Jun 30, 2022 | 4.77 Bn |
| Mar 31, 2022 | 6.04 Bn |
| Dec 31, 2021 | 7.83 Bn |
API Access
Rtx Cash & Equivalents 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-and-equivalents&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();