General Electric (GE) Cost of Revenue (2009 - 2026)
General Electric's Cost of Revenue came in at $8.67 billion for Q2 2026, up 26.7% from $6.85 billion a year earlier and up 9.5% from the prior quarter.
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Analysis
General Electric (GE) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, General Electric reported Cost of Revenue of $32.72 billion, up 26.7% year-over-year; for FY2025, it was $28.97 billion, up 328.5% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of -13.7% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $6.76 billion in FY2024 (+8.1%), $6.26 billion in FY2023 (-49.7%), $12.44 billion in FY2022 (-13.2%) and $14.34 billion in FY2021 (-76.3%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue since Q4 2022.
- Year-over-year, Cost of Revenue has increased for eight consecutive quarters, with growth averaging 18.3% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2026 (growth of 32.1%), and the weakest in Q4 2023 (a decline of 49.7%).
- Business Quant data shows GE's Cost of Revenue at $7.92 billion (Q1 2026), $8.36 billion (Q4 2025) and $7.76 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 1.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.67 Bn |
| Mar 31, 2026 | 7.92 Bn |
| Dec 31, 2025 | 8.36 Bn |
| Sep 30, 2025 | 7.76 Bn |
| Jun 30, 2025 | 6.85 Bn |
| Mar 31, 2025 | 6.00 Bn |
| Dec 31, 2024 | 6.76 Bn |
| Sep 30, 2024 | 6.23 Bn |
| Jun 30, 2024 | 5.57 Bn |
| Mar 31, 2024 | 5.75 Bn |
| Dec 31, 2023 | 6.26 Bn |
| Sep 30, 2023 | 5.99 Bn |
| Jun 30, 2023 | 5.69 Bn |
| Mar 31, 2023 | 5.00 Bn |
| Dec 31, 2022 | 12.44 Bn |
| Sep 30, 2022 | 11.53 Bn |
| Jun 30, 2022 | 10.53 Bn |
| Mar 31, 2022 | 9.77 Bn |
| Dec 31, 2021 | 14.34 Bn |
| Sep 30, 2021 | 13.40 Bn |
API Access
General Electric Cost of Revenue 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=cost-of-revenue&ticker=GE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();