General Electric (GE) Income Taxes Paid (2018 - 2026)
General Electric's Income Taxes Paid came in at $143 million for Q3 2026, down 22.3% from $184 million a year earlier but up 33.6% from the prior quarter.
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Analysis
General Electric (GE) Income Taxes Paid (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, General Electric reported Income Taxes Paid of $586 million, down 19.6% year-over-year; for FY2025, it came in at $739 million, up 121.3% from FY2024.
- Income Taxes Paid carries a five-year compound annual growth rate of -12.5% (FY2020 to FY2025).
- Going back by year, Income Taxes Paid was $334 million in FY2024 (-67.9%), $1.04 billion in FY2023 (+90.3%), $547 million in FY2022 (+46.6%) and $373 million in FY2021 (-74.1%).
- The five-year range for quarterly Income Taxes Paid is -$675 million (Q4 2021) to $338 million (Q4 2023).
- Year-over-year, Income Taxes Paid has declined for three consecutive quarters, with an average decline of 14.0% over the last seven quarters.
- The fastest year-over-year change in Income Taxes Paid over five years came in Q1 2023 (growth of 616.7%), and the weakest in Q1 2022 (a decline of 92.5%).
- Business Quant data shows GE's Income Taxes Paid at $107 million (Q2 2026), $34 million (Q1 2026) and $302 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 143.00 Mn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | - |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | - |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 251.00 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 198.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | - |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | - |
| 10 | TransDigm | 68.72 Bn | 56.73 Bn | 1.63 Bn | 134.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 143.00 Mn |
| Jun 30, 2026 | 107.00 Mn |
| Mar 31, 2026 | 34.00 Mn |
| Dec 31, 2025 | 302.00 Mn |
| Sep 30, 2025 | 184.00 Mn |
| Jun 30, 2025 | 141.00 Mn |
| Mar 31, 2025 | 112.00 Mn |
| Dec 31, 2024 | 292.00 Mn |
| Sep 30, 2024 | 133.00 Mn |
| Jun 30, 2024 | 157.00 Mn |
| Mar 31, 2024 | -248.00 Mn |
| Dec 31, 2023 | 338.00 Mn |
| Sep 30, 2023 | 217.00 Mn |
| Jun 30, 2023 | 314.00 Mn |
| Mar 31, 2023 | 172.00 Mn |
| Dec 31, 2022 | 252.00 Mn |
| Sep 30, 2022 | 121.00 Mn |
| Jun 30, 2022 | 150.00 Mn |
| Mar 31, 2022 | 24.00 Mn |
| Dec 31, 2021 | -675.00 Mn |
API Access
General Electric Income Taxes Paid 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=income-taxes-paid&ticker=GE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();