General Electric (GE) Receivables (2009 - 2026)
General Electric (GE) reported Receivables of $15.83 billion for Q2 2026, up 16.7% from $13.57 billion a year earlier but down 0.5% 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%).
- Five-year quarterly Receivables spans a low of $11.09 billion in Q2 2024 and a high of $29.8 billion in Q3 2021.
- Year over year, Receivables has now increased in each of the last five quarters, with growth averaging 7.5% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q1 2026 (growth of 26.3%); the low point was Q1 2022 (a decline of 39.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.91 billion (Q1 2026), $15.28 billion (Q4 2025) and $13.78 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 10.85 Bn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn | 2.16 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 29.80 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();