Advanced Energy Industries (AEIS) Inventory (2010 - 2026)
Advanced Energy Industries (AEIS) recorded Inventory of $538.1 million in Q2 2026, up 35.2% from $397.9 million a year earlier and up 17.3% from the prior quarter.
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Analysis
Advanced Energy Industries (AEIS) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Advanced Energy Industries reported Inventory of $411.2 million, up 14.1% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $360.4 million in FY2024 (+7.2%), $336.14 million in FY2023 (-10.6%), $376.01 million in FY2022 (+11.1%) and $338.41 million in FY2021 (+52.9%).
- The Q2 2026 figure is the highest quarterly Inventory in data going back to Q4 2010.
- On a year-over-year basis, Inventory has increased for eight consecutive quarters, with growth averaging 12.1% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 52.9% in Q4 2021, against a decline of 11.1% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $458.7 million (Q1 2026), $411.2 million (Q4 2025) and $399.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Advanced Energy Industries | 11.27 Bn | 7.63 Bn | 236.10 Mn | 538.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 538.10 Mn |
| Mar 31, 2026 | 458.70 Mn |
| Dec 31, 2025 | 411.20 Mn |
| Sep 30, 2025 | 399.70 Mn |
| Jun 30, 2025 | 397.90 Mn |
| Mar 31, 2025 | 368.80 Mn |
| Dec 31, 2024 | 360.40 Mn |
| Sep 30, 2024 | 377.74 Mn |
| Jun 30, 2024 | 383.14 Mn |
| Mar 31, 2024 | 361.34 Mn |
| Dec 31, 2023 | 336.14 Mn |
| Sep 30, 2023 | 364.00 Mn |
| Jun 30, 2023 | 392.35 Mn |
| Mar 31, 2023 | 401.53 Mn |
| Dec 31, 2022 | 376.01 Mn |
| Sep 30, 2022 | 409.42 Mn |
| Jun 30, 2022 | 395.87 Mn |
| Mar 31, 2022 | 360.80 Mn |
| Dec 31, 2021 | 338.41 Mn |
| Sep 30, 2021 | 341.50 Mn |
API Access
Advanced Energy Industries Inventory 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=inventory&ticker=AEIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();