Rtx (RTX) Accounts Payables (2009 - 2026)
Rtx (RTX) posted Accounts Payables of $17.8 billion for Q3 2026, up 22.3% from $14.55 billion a year earlier and up 4.7% from the prior quarter.
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Analysis
Rtx (RTX) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Rtx's Accounts Payables came in at $15.9 billion, up 23.2% from FY2024.
- Annual Accounts Payables has increased for six consecutive years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In prior years, Rtx's Accounts Payables was $12.9 billion in FY2024 (+20.6%), $10.7 billion in FY2023 (+8.1%), $9.9 billion in FY2022 (+13.1%) and $8.75 billion in FY2021 (+1.3%).
- The Q3 2026 figure stands as the highest quarterly Accounts Payables in data going back to Q2 2009.
- On a year-over-year basis, Accounts Payables has increased in each of the last 18 quarters, with growth averaging 23.1% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q1 2025, with growth of 27.8%; the weakest was Q1 2022, with a decline of 9.9%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $17 billion (Q2 2026), $15.98 billion (Q1 2026) and $15.9 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 344.46 Bn | 302.98 Bn | 5.02 Bn | 10.98 Bn |
| 2 | Rtx | 265.15 Bn | 233.42 Bn | 5.81 Bn | 17.80 Bn |
| 3 | Boeing | 138.50 Bn | 47.45 Bn | 2.17 Bn | 15.29 Bn |
| 4 | Lockheed Martin | 135.29 Bn | 119.53 Bn | 2.44 Bn | 5.01 Bn |
| 5 | General Dynamics | 98.06 Bn | 83.30 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Motorola Solutions | 86.61 Bn | 83.08 Bn | 1.77 Bn | 1.05 Bn |
| 7 | Howmet Aerospace | 85.96 Bn | 81.71 Bn | 1.00 Bn | 969.00 Mn |
| 8 | Northrop Grumman | 77.12 Bn | 64.58 Bn | 2.35 Bn | 3.28 Bn |
| 9 | Honeywell International | 72.18 Bn | 31.69 Bn | 2.02 Bn | 3.59 Bn |
| 10 | TransDigm | 70.73 Bn | 58.74 Bn | 1.63 Bn | 434.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.80 Bn |
| Jun 30, 2026 | 17.00 Bn |
| Mar 31, 2026 | 15.98 Bn |
| Dec 31, 2025 | 15.90 Bn |
| Sep 30, 2025 | 14.55 Bn |
| Jun 30, 2025 | 13.43 Bn |
| Mar 31, 2025 | 13.44 Bn |
| Dec 31, 2024 | 12.90 Bn |
| Sep 30, 2024 | 11.83 Bn |
| Jun 30, 2024 | 10.94 Bn |
| Mar 31, 2024 | 10.52 Bn |
| Dec 31, 2023 | 10.70 Bn |
| Sep 30, 2023 | 10.32 Bn |
| Jun 30, 2023 | 10.13 Bn |
| Mar 31, 2023 | 10.06 Bn |
| Dec 31, 2022 | 9.90 Bn |
| Sep 30, 2022 | 9.02 Bn |
| Jun 30, 2022 | 9.73 Bn |
| Mar 31, 2022 | 8.27 Bn |
| Dec 31, 2021 | 8.75 Bn |
API Access
Rtx Accounts Payables 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=accounts-payables&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();