General Electric (GE) Receivables (2009 - 2026)
General Electric (GE) reported Receivables of $17.55 billion for Q3 2026, up 27.3% from $13.78 billion a year earlier and up 10.8% from the prior quarter.
General Electric (GE) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, General Electric posted Receivables of $15.28 billion, up 24.2% from FY2024.
- Receivables has a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- By year, Receivables came in at $12.31 billion in FY2024 (+6.3%), $11.58 billion in FY2023 (-33.1%), $17.3 billion in FY2022 (-15.6%) and $20.5 billion in FY2021 (-8.7%).
- The Q3 2026 figure ranks as the highest quarterly Receivables since Q3 2022.
- Year over year, Receivables has now increased in each of the last six quarters, with growth averaging 14.4% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q3 2026 (growth of 27.3%); the low point was Q1 2022 (a decline of 39.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $15.83 billion (Q2 2026), $15.91 billion (Q1 2026) and $15.28 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 295.43 Bn | 253.94 Bn | 5.02 Bn | 17.55 Bn |
| 2 | Rtx | 258.65 Bn | 226.92 Bn | 5.81 Bn | 33.38 Bn |
| 3 | Boeing | 148.98 Bn | 55.67 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 139.53 Bn | 123.76 Bn | 2.44 Bn | 20.00 Bn |
| 5 | General Dynamics | 94.40 Bn | 81.52 Bn | 2.18 Bn | 48.50 Bn |
| 6 | Motorola Solutions | 79.77 Bn | 76.11 Bn | 1.68 Bn | 3.62 Bn |
| 7 | Northrop Grumman | 78.39 Bn | 65.85 Bn | 2.35 Bn | 9.98 Bn |
| 8 | Howmet Aerospace | 74.22 Bn | 69.82 Bn | 951.00 Mn | 1.04 Bn |
| 9 | Honeywell International | 70.30 Bn | 22.42 Bn | 3.65 Bn | 10.85 Bn |
| 10 | TransDigm | 63.46 Bn | 51.47 Bn | 1.63 Bn | 2.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.55 Bn |
| Jun 30, 2026 | 15.83 Bn |
| Mar 31, 2026 | 15.91 Bn |
| Dec 31, 2025 | 15.28 Bn |
| Sep 30, 2025 | 13.78 Bn |
| Jun 30, 2025 | 13.57 Bn |
| Mar 31, 2025 | 12.59 Bn |
| Dec 31, 2024 | 12.31 Bn |
| Sep 30, 2024 | 11.82 Bn |
| Jun 30, 2024 | 11.09 Bn |
| Mar 31, 2024 | 16.65 Bn |
| Dec 31, 2023 | 11.58 Bn |
| Sep 30, 2023 | 16.42 Bn |
| Jun 30, 2023 | 16.80 Bn |
| Mar 31, 2023 | 16.46 Bn |
| Dec 31, 2022 | 17.30 Bn |
| Sep 30, 2022 | 20.90 Bn |
| Jun 30, 2022 | 20.52 Bn |
| Mar 31, 2022 | 20.30 Bn |
| Dec 31, 2021 | 20.50 Bn |
General Electric Receivables 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=receivables&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();