Advanced Energy Industries (AEIS) Cash & Equivalents (2010 - 2026)
Advanced Energy Industries (AEIS) posted Cash & Equivalents of $1.4 billion for Q2 2026, up 95.7% from $713.5 million a year earlier and up 99.6% from the prior quarter.
Advanced Energy Industries (AEIS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Advanced Energy Industries' Cash & Equivalents came in at $791.2 million, up 9.6% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- In prior years, Advanced Energy Industries' Cash & Equivalents was $722.1 million in FY2024 (-30.9%), $1.04 billion in FY2023 (+127.7%), $458.82 million in FY2022 (-15.7%) and $544.37 million in FY2021 (+13.3%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- On a year-over-year basis, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 0.4%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2023, with growth of 141.0%; the weakest was Q3 2024, with a decline of 33.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $699.5 million (Q1 2026), $791.2 million (Q4 2025) and $758.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Advanced Energy Industries | 11.76 Bn | 8.12 Bn | 236.10 Mn | 1.40 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.40 Bn |
| Mar 31, 2026 | 699.50 Mn |
| Dec 31, 2025 | 791.20 Mn |
| Sep 30, 2025 | 758.60 Mn |
| Jun 30, 2025 | 713.50 Mn |
| Mar 31, 2025 | 723.00 Mn |
| Dec 31, 2024 | 722.10 Mn |
| Sep 30, 2024 | 657.29 Mn |
| Jun 30, 2024 | 986.15 Mn |
| Mar 31, 2024 | 1.02 Bn |
| Dec 31, 2023 | 1.04 Bn |
| Sep 30, 2023 | 985.93 Mn |
| Jun 30, 2023 | 455.25 Mn |
| Mar 31, 2023 | 461.67 Mn |
| Dec 31, 2022 | 458.82 Mn |
| Sep 30, 2022 | 409.05 Mn |
| Jun 30, 2022 | 372.69 Mn |
| Mar 31, 2022 | 521.24 Mn |
| Dec 31, 2021 | 544.37 Mn |
| Sep 30, 2021 | 547.92 Mn |
Advanced Energy Industries Cash & Equivalents 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=cash-and-equivalents&ticker=AEIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();