Rtx (RTX) Change in Accured Expenses (2009 - 2026)
Rtx's Change in Accured Expenses was $2.1 billion in Q2 2026, compared with -$538 million a year earlier.
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Analysis
Rtx (RTX) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rtx's Change in Accured Expenses was $4.51 billion through Jun 30, 2026; for FY2025, it came in at $3.42 billion, up 126.7% from FY2024.
- In earlier years, Change in Accured Expenses was $1.51 billion in FY2024 (-62.5%), $4.02 billion in FY2023 (+93.5%), $2.08 billion in FY2022 (+126.3%) and $917 million in FY2021.
- Quarterly Change in Accured Expenses has moved between -$1.16 billion (Q1 2026) and $3.57 billion (Q3 2023) over five years.
- Per Business Quant data, RTX's Change in Accured Expenses in the three quarters before Q2 2026 was -$1.16 billion (Q1 2026), $1.32 billion (Q4 2025) and $2.24 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 41.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 82.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 895.00 Mn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 301.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Bn |
| Mar 31, 2026 | -1.16 Bn |
| Dec 31, 2025 | 1.32 Bn |
| Sep 30, 2025 | 2.24 Bn |
| Jun 30, 2025 | -538.00 Mn |
| Mar 31, 2025 | 397.00 Mn |
| Dec 31, 2024 | -819.00 Mn |
| Sep 30, 2024 | 1.08 Bn |
| Jun 30, 2024 | 1.46 Bn |
| Mar 31, 2024 | -218.00 Mn |
| Dec 31, 2023 | 594.00 Mn |
| Sep 30, 2023 | 3.57 Bn |
| Jun 30, 2023 | -639.00 Mn |
| Mar 31, 2023 | 490.00 Mn |
| Dec 31, 2022 | 777.00 Mn |
| Sep 30, 2022 | -811.00 Mn |
| Jun 30, 2022 | 2.43 Bn |
| Mar 31, 2022 | -316.00 Mn |
| Dec 31, 2021 | 492.00 Mn |
| Sep 30, 2021 | 1.16 Bn |
API Access
Rtx Change in Accured Expenses 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=change-in-accured-expenses&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();