Advanced Energy Industries (AEIS) Amortization - Intangibles (2010 - 2026)
Advanced Energy Industries' Amortization - Intangibles came in at $5.2 million for Q2 2026, down 7.1% from $5.6 million a year earlier and down 1.9% from the prior quarter.
Advanced Energy Industries (AEIS) Amortization - Intangibles (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Advanced Energy Industries reported Amortization - Intangibles of $21.5 million, down 8.1% year-over-year; for FY2025, it came in at $22.1 million, down 15.0% from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $26 million in FY2024 (-8.1%), $28.3 million in FY2023 (+8.4%), $26.11 million in FY2022 (+18.4%) and $22.06 million in FY2021 (+9.6%).
- The Q2 2026 figure represents the lowest quarterly Amortization - Intangibles since Q4 2020.
- Year-over-year, Amortization - Intangibles has declined for ten consecutive quarters, with an average decline of 11.8% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q1 2023 (growth of 28.2%), and the weakest in Q4 2024 (a decline of 22.7%).
- Business Quant data shows AEIS's Amortization - Intangibles at $5.3 million (Q1 2026), $5.4 million (Q4 2025) and $5.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Advanced Energy Industries | 11.27 Bn | 7.63 Bn | 236.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.20 Mn |
| Mar 31, 2026 | 5.30 Mn |
| Dec 31, 2025 | 5.40 Mn |
| Sep 30, 2025 | 5.60 Mn |
| Jun 30, 2025 | 5.60 Mn |
| Mar 31, 2025 | 5.50 Mn |
| Dec 31, 2024 | 5.50 Mn |
| Sep 30, 2024 | 6.80 Mn |
| Jun 30, 2024 | 6.80 Mn |
| Mar 31, 2024 | 6.90 Mn |
| Dec 31, 2023 | 7.11 Mn |
| Sep 30, 2023 | 7.05 Mn |
| Jun 30, 2023 | 7.08 Mn |
| Mar 31, 2023 | 7.06 Mn |
| Dec 31, 2022 | 7.03 Mn |
| Sep 30, 2022 | 7.05 Mn |
| Jun 30, 2022 | 6.52 Mn |
| Mar 31, 2022 | 5.51 Mn |
| Dec 31, 2021 | 5.56 Mn |
| Sep 30, 2021 | 5.61 Mn |
Advanced Energy Industries Amortization - Intangibles 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=amortization-intangibles&ticker=AEIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();