Advanced Energy Industries (AEIS) Net Income (2009 - 2026)
Advanced Energy Industries' Net Income was $115.6 million in Q3 2026, up 150.2% from $46.2 million a year earlier and up 113.7% from the prior quarter.
Advanced Energy Industries (AEIS) Net Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Advanced Energy Industries' Net Income was $288.8 million through Sep 30, 2026, up 99.2% year-over-year; for FY2025, it was $148.4 million, up 173.8% from FY2024.
- Net Income shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In earlier years, Net Income was $54.2 million in FY2024 (-57.7%), $128.28 million in FY2023 (-35.7%), $199.66 million in FY2022 (+48.2%) and $134.74 million in FY2021 (unchanged).
- The Q3 2026 figure marks the highest quarterly Net Income in data going back to Q2 2010.
- Compared with a year earlier, Net Income has increased for four straight quarters, with growth averaging 130.6% over the last seven quarters.
- The best year-over-year quarter for Net Income over five years was Q1 2025 (growth of 373.5%); the worst was Q1 2024 (a decline of 83.1%).
- Per Business Quant data, AEIS's Net Income in the three quarters before Q3 2026 was $54.1 million (Q2 2026), $66.8 million (Q1 2026) and $52.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 3.29 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 2.05 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 1.38 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.08 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 884.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.41 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 744.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 855.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 764.50 Mn |
| 10 | Advanced Energy Industries | 8.87 Bn | 4.56 Bn | 289.10 Mn | 115.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 115.60 Mn |
| Jun 30, 2026 | 54.10 Mn |
| Mar 31, 2026 | 66.80 Mn |
| Dec 31, 2025 | 52.30 Mn |
| Sep 30, 2025 | 46.20 Mn |
| Jun 30, 2025 | 25.20 Mn |
| Mar 31, 2025 | 24.70 Mn |
| Dec 31, 2024 | 48.90 Mn |
| Sep 30, 2024 | -14.90 Mn |
| Jun 30, 2024 | 15.03 Mn |
| Mar 31, 2024 | 5.22 Mn |
| Dec 31, 2023 | 37.50 Mn |
| Sep 30, 2023 | 32.72 Mn |
| Jun 30, 2023 | 27.14 Mn |
| Mar 31, 2023 | 30.92 Mn |
| Dec 31, 2022 | 43.75 Mn |
| Sep 30, 2022 | 74.17 Mn |
| Jun 30, 2022 | 44.97 Mn |
| Mar 31, 2022 | 36.76 Mn |
| Dec 31, 2021 | 39.66 Mn |
Advanced Energy Industries Net Income 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=net-income&ticker=AEIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "ticker": "AEIS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-income&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();