General Electric (GE) Accounts Payables (2009 - 2026)
General Electric (GE) posted Accounts Payables of $10.98 billion for Q3 2026, up 15.8% from $9.49 billion a year earlier and up 1.5% from the prior quarter.
General Electric (GE) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, General Electric's Accounts Payables came in at $10.08 billion, up 27.4% from FY2024.
- Annual Accounts Payables shows a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- In prior years, General Electric's Accounts Payables was $7.91 billion in FY2024 (+5.2%), $7.52 billion in FY2023 (-51.2%), $15.4 billion in FY2022 (-5.2%) and $16.24 billion in FY2021 (-1.3%).
- The Q3 2026 figure stands as the highest quarterly Accounts Payables since Q1 2024.
- On a year-over-year basis, Accounts Payables has increased in each of the last six quarters, with growth averaging 10.9% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q4 2025, with growth of 27.4%; the weakest was Q4 2023, with a decline of 51.2%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $10.82 billion (Q2 2026), $10.68 billion (Q1 2026) and $10.08 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 13.26 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 10.98 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 17.80 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | 5.01 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 15.29 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 3.17 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 1.05 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 969.00 Mn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 3.28 Bn |
| 10 | Honeywell International | 72.44 Bn | 32.19 Bn | 2.02 Bn | 3.59 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.98 Bn |
| Jun 30, 2026 | 10.82 Bn |
| Mar 31, 2026 | 10.68 Bn |
| Dec 31, 2025 | 10.08 Bn |
| Sep 30, 2025 | 9.49 Bn |
| Jun 30, 2025 | 9.50 Bn |
| Mar 31, 2025 | 8.63 Bn |
| Dec 31, 2024 | 7.91 Bn |
| Sep 30, 2024 | 7.83 Bn |
| Jun 30, 2024 | 7.71 Bn |
| Mar 31, 2024 | 15.18 Bn |
| Dec 31, 2023 | 7.52 Bn |
| Sep 30, 2023 | 15.79 Bn |
| Jun 30, 2023 | 15.52 Bn |
| Mar 31, 2023 | 15.06 Bn |
| Dec 31, 2022 | 15.40 Bn |
| Sep 30, 2022 | 17.33 Bn |
| Jun 30, 2022 | 17.03 Bn |
| Mar 31, 2022 | 16.21 Bn |
| Dec 31, 2021 | 16.24 Bn |
General Electric 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=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "ticker": "GE", "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=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();