Advanced Energy Industries (AEIS) Selling, General & Administrative (2009 - 2026)
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Analysis
Advanced Energy Industries (AEIS) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 1.80 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 979.90 Mn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.28 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 921.00 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.39 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 717.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 556.90 Mn |
| 10 | Advanced Energy Industries | 8.87 Bn | 4.56 Bn | 289.10 Mn | 73.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 73.80 Mn |
| Jun 30, 2026 | 69.40 Mn |
| Mar 31, 2026 | 62.30 Mn |
| Dec 31, 2025 | 63.40 Mn |
| Sep 30, 2025 | 59.80 Mn |
| Jun 30, 2025 | 60.20 Mn |
| Mar 31, 2025 | 59.00 Mn |
| Dec 31, 2024 | 58.20 Mn |
| Sep 30, 2024 | 56.20 Mn |
| Jun 30, 2024 | 55.10 Mn |
| Mar 31, 2024 | 55.10 Mn |
| Dec 31, 2023 | 54.90 Mn |
| Sep 30, 2023 | 55.13 Mn |
| Jun 30, 2023 | 55.61 Mn |
| Mar 31, 2023 | 55.36 Mn |
| Dec 31, 2022 | 57.41 Mn |
| Sep 30, 2022 | 56.72 Mn |
| Jun 30, 2022 | 55.02 Mn |
| Mar 31, 2022 | 49.32 Mn |
| Dec 31, 2021 | 48.78 Mn |
API Access
Advanced Energy Industries Selling, General & Administrative 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=selling-general-and-administrative&ticker=AEIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();