Rtx (RTX) Cash & Equivalents (2010 - 2026)
Rtx (RTX) reported Cash & Equivalents of $8.31 billion for Q2 2026, up 73.7% from $4.78 billion a year earlier and up 21.8% 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 Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q1 2021.
- Year over year, Cash & Equivalents has now increased in each of the last three quarters, with growth averaging 13.4% 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 Q2 2026 came in at $6.82 billion (Q1 2026), $7.44 billion (Q4 2025) and $5.97 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 8.75 Bn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 2.77 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 7.48 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();