Advanced Energy Industries (AEIS) Intangibles (2010 - 2026)
Advanced Energy Industries' Intangibles was $107.2 million in Q2 2026, down 16.7% from $128.7 million a year earlier and down 4.6% from the prior quarter.
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Analysis
Advanced Energy Industries (AEIS) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Advanced Energy Industries came in at $117.7 million, down 15.6% from FY2024.
- Intangibles has now declined for three consecutive years, with a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- In earlier years, Intangibles was $139.4 million in FY2024 (-13.7%), $161.48 million in FY2023 (-14.8%), $189.53 million in FY2022 (+18.9%) and $159.41 million in FY2021 (-5.6%).
- The Q2 2026 figure marks the lowest quarterly Intangibles since Q2 2019.
- Compared with a year earlier, Intangibles has declined for 13 straight quarters, with an average decline of 14.9% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was Q4 2022 (growth of 18.9%); the worst was Q2 2026 (a decline of 16.7%).
- Per Business Quant data, AEIS's Intangibles in the three quarters before Q2 2026 was $112.4 million (Q1 2026), $117.7 million (Q4 2025) and $123.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 420.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 5.29 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 940.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 12.61 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 7.28 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.80 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 8.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.05 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 558.00 Mn |
| 10 | Advanced Energy Industries | 11.27 Bn | 7.63 Bn | 236.10 Mn | 107.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.20 Mn |
| Mar 31, 2026 | 112.40 Mn |
| Dec 31, 2025 | 117.70 Mn |
| Sep 30, 2025 | 123.10 Mn |
| Jun 30, 2025 | 128.70 Mn |
| Mar 31, 2025 | 134.00 Mn |
| Dec 31, 2024 | 139.40 Mn |
| Sep 30, 2024 | 145.29 Mn |
| Jun 30, 2024 | 151.76 Mn |
| Mar 31, 2024 | 154.39 Mn |
| Dec 31, 2023 | 161.48 Mn |
| Sep 30, 2023 | 168.21 Mn |
| Jun 30, 2023 | 175.49 Mn |
| Mar 31, 2023 | 182.59 Mn |
| Dec 31, 2022 | 189.53 Mn |
| Sep 30, 2022 | 195.81 Mn |
| Jun 30, 2022 | 201.78 Mn |
| Mar 31, 2022 | 153.61 Mn |
| Dec 31, 2021 | 159.41 Mn |
| Sep 30, 2021 | 165.03 Mn |
API Access
Advanced Energy Industries 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=intangibles&ticker=AEIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();