Advanced Energy Industries (AEIS) Retained Earnings (2010 - 2026)
Advanced Energy Industries (AEIS) reported Retained Earnings of $1.23 billion for Q2 2026, up 17.2% from $1.05 billion a year earlier and up 4.0% from the prior quarter.
Advanced Energy Industries (AEIS) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Advanced Energy Industries posted Retained Earnings of $1.13 billion, up 9.9% from FY2024.
- Retained Earnings has increased for ten consecutive years, with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- By year, Retained Earnings came in at $1.03 billion in FY2024 (+3.7%), $989.73 million in FY2023 (+8.1%), $915.27 million in FY2022 (+21.0%) and $756.32 million in FY2021 (+6.2%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year over year, Retained Earnings has now increased in each of the last 41 quarters, with growth averaging 8.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 2.7% in Q3 2024 to 21.0% in Q4 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.18 billion (Q1 2026), $1.13 billion (Q4 2025) and $1.09 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 70.14 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 11.64 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 62.17 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.53 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 24.49 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.87 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 41.58 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 38.63 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 30.81 Bn |
| 10 | Advanced Energy Industries | 11.27 Bn | 7.63 Bn | 236.10 Mn | 1.23 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.23 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.13 Bn |
| Sep 30, 2025 | 1.09 Bn |
| Jun 30, 2025 | 1.05 Bn |
| Mar 31, 2025 | 1.05 Bn |
| Dec 31, 2024 | 1.03 Bn |
| Sep 30, 2024 | 981.74 Mn |
| Jun 30, 2024 | 1.00 Bn |
| Mar 31, 2024 | 991.06 Mn |
| Dec 31, 2023 | 989.73 Mn |
| Sep 30, 2023 | 956.16 Mn |
| Jun 30, 2023 | 965.74 Mn |
| Mar 31, 2023 | 942.38 Mn |
| Dec 31, 2022 | 915.27 Mn |
| Sep 30, 2022 | 875.97 Mn |
| Jun 30, 2022 | 807.84 Mn |
| Mar 31, 2022 | 782.97 Mn |
| Dec 31, 2021 | 756.32 Mn |
| Sep 30, 2021 | 744.87 Mn |
Advanced Energy Industries Retained Earnings 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=retained-earnings&ticker=AEIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();