Advanced Energy Industries (AEIS) Total Non-Current Liabilities (2010 - 2026)
Advanced Energy Industries' Total Non-Current Liabilities came in at $1.93 billion for Q2 2026, up 78.0% from $1.08 billion a year earlier and up 65.6% from the prior quarter.
Advanced Energy Industries (AEIS) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Advanced Energy Industries' Total Non-Current Liabilities was $1.14 billion, up 12.0% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.02 billion in FY2024 (-25.5%), $1.37 billion in FY2023 (+54.8%), $884.96 million in FY2022 (-2.3%) and $905.36 million in FY2021 (+12.1%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year-over-year, Total Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 78.0%), and the weakest in Q3 2024 (a decline of 26.9%).
- Business Quant data shows AEIS's Total Non-Current Liabilities at $1.17 billion (Q1 2026), $1.14 billion (Q4 2025) and $1.09 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | - |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 14.72 Bn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | 18.30 Bn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 7.65 Bn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 10.73 Bn |
| 10 | Advanced Energy Industries | 8.44 Bn | 4.80 Bn | 236.10 Mn | 1.93 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.93 Bn |
| Mar 31, 2026 | 1.17 Bn |
| Dec 31, 2025 | 1.14 Bn |
| Sep 30, 2025 | 1.09 Bn |
| Jun 30, 2025 | 1.08 Bn |
| Mar 31, 2025 | 1.04 Bn |
| Dec 31, 2024 | 1.02 Bn |
| Sep 30, 2024 | 986.24 Mn |
| Jun 30, 2024 | 1.34 Bn |
| Mar 31, 2024 | 1.34 Bn |
| Dec 31, 2023 | 1.37 Bn |
| Sep 30, 2023 | 1.35 Bn |
| Jun 30, 2023 | 780.24 Mn |
| Mar 31, 2023 | 868.82 Mn |
| Dec 31, 2022 | 884.96 Mn |
| Sep 30, 2022 | 953.06 Mn |
| Jun 30, 2022 | 922.15 Mn |
| Mar 31, 2022 | 901.69 Mn |
| Dec 31, 2021 | 905.36 Mn |
| Sep 30, 2021 | 954.27 Mn |
Advanced Energy Industries Total Non-Current 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-non-current-liabilities&ticker=AEIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();