Advanced Energy Industries (AEIS) Total Liabilities (2010 - 2026)
Advanced Energy Industries' Total Liabilities came in at $1.97 billion for Q2 2026, up 75.6% from $1.12 billion a year earlier and up 63.1% from the prior quarter.
Powered by 
Analysis
Advanced Energy Industries (AEIS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Advanced Energy Industries' Total Liabilities was $1.18 billion, up 11.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $1.06 billion in FY2024 (-25.0%), $1.41 billion in FY2023 (+52.5%), $926.07 million in FY2022 (-2.1%) and $945.84 million in FY2021 (+13.6%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 2.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2026 (growth of 75.6%), and the weakest in Q3 2024 (a decline of 26.2%).
- Business Quant data shows AEIS's Total Liabilities at $1.21 billion (Q1 2026), $1.18 billion (Q4 2025) and $1.13 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Advanced Energy Industries | 11.27 Bn | 7.63 Bn | 236.10 Mn | 1.97 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.97 Bn |
| Mar 31, 2026 | 1.21 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 1.13 Bn |
| Jun 30, 2025 | 1.12 Bn |
| Mar 31, 2025 | 1.07 Bn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | 1.38 Bn |
| Mar 31, 2024 | 1.38 Bn |
| Dec 31, 2023 | 1.41 Bn |
| Sep 30, 2023 | 1.39 Bn |
| Jun 30, 2023 | 824.63 Mn |
| Mar 31, 2023 | 912.79 Mn |
| Dec 31, 2022 | 926.07 Mn |
| Sep 30, 2022 | 984.11 Mn |
| Jun 30, 2022 | 953.19 Mn |
| Mar 31, 2022 | 931.04 Mn |
| Dec 31, 2021 | 945.84 Mn |
| Sep 30, 2021 | 990.26 Mn |
API Access
Advanced Energy Industries Total Liabilities 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=total-liabilities&ticker=AEIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();