Advanced Energy Industries (AEIS) Shares Outstanding (2009 - 2026)
Advanced Energy Industries (AEIS) reported Weighted Average Shares Outstanding of 40 million for Q3 2026, up 6.4% from 37.6 million a year earlier and up 2.8% from the prior quarter.
Advanced Energy Industries (AEIS) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Advanced Energy Industries posted Weighted Average Shares Outstanding of 37.6 million, up 0.3% from FY2024.
- Weighted Average Shares Outstanding has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 37.48 million in FY2024 (unchanged), 37.48 million in FY2023 (unchanged), 37.46 million in FY2022 (-1.8%) and 38.14 million in FY2021 (-0.4%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding since Q4 2015.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last seven quarters, with growth averaging 1.4% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q3 2026 (growth of 6.4%); the low point was Q2 2022 (a decline of 2.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 38.9 million (Q2 2026), 37.7 million (Q1 2026) and 37.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 459.10 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 2.47 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 388.60 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 126.10 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 518.80 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 559.60 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 284.60 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 385.00 Mn |
| 10 | Advanced Energy Industries | 8.87 Bn | 4.56 Bn | 289.10 Mn | 40.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.00 Mn |
| Jun 30, 2026 | 38.90 Mn |
| Mar 31, 2026 | 37.70 Mn |
| Dec 31, 2025 | 37.60 Mn |
| Sep 30, 2025 | 37.60 Mn |
| Jun 30, 2025 | 37.60 Mn |
| Mar 31, 2025 | 37.60 Mn |
| Dec 31, 2024 | 37.48 Mn |
| Sep 30, 2024 | 37.53 Mn |
| Jun 30, 2024 | 37.47 Mn |
| Mar 31, 2024 | 37.36 Mn |
| Dec 31, 2023 | 37.48 Mn |
| Sep 30, 2023 | 37.58 Mn |
| Jun 30, 2023 | 37.57 Mn |
| Mar 31, 2023 | 37.48 Mn |
| Dec 31, 2022 | 37.46 Mn |
| Sep 30, 2022 | 37.38 Mn |
| Jun 30, 2022 | 37.52 Mn |
| Mar 31, 2022 | 37.55 Mn |
| Dec 31, 2021 | 38.14 Mn |
Advanced Energy Industries Shares Outstanding 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=shares-outstanding&ticker=AEIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();