Advanced Energy Industries (AEIS) Other Accumulated Expenses (2009 - 2026)
Advanced Energy Industries (AEIS) recorded Other Accumulated Expenses of $43.86 million in Q1 2020, up 100.8% from $21.85 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Advanced Energy Industries (AEIS) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2019, Advanced Energy Industries reported Other Accumulated Expenses of $41.69 million, up 81.3% from FY2018.
- Annual Other Accumulated Expenses has increased for five straight years, with a five-year compound annual growth rate of 28.7% (FY2014 to FY2019).
- Across earlier years, Other Accumulated Expenses came in at $23 million in FY2018 (+15.5%), $19.91 million in FY2017 (+36.5%), $14.59 million in FY2016 (+5.0%) and $13.89 million in FY2015 (+17.8%).
- The Q1 2020 figure is the highest quarterly Other Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 37.4% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 110.6% in Q3 2019, against a decline of 52.6% in Q3 2016 at the low end.
- Per Business Quant, the preceding three quarters came in at $41.69 million (Q4 2019), $42.63 million (Q3 2019) and $17.06 million (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | Advanced Energy Industries | 8.87 Bn | 4.56 Bn | 289.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.90 Mn |
| Jun 30, 2026 | 14.00 Mn |
| Mar 31, 2026 | 12.10 Mn |
| Dec 31, 2025 | 12.70 Mn |
| Sep 30, 2025 | 12.70 Mn |
| Jun 30, 2025 | 15.30 Mn |
| Mar 31, 2025 | 14.20 Mn |
| Dec 31, 2024 | 11.50 Mn |
| Sep 30, 2024 | 11.35 Mn |
| Jun 30, 2024 | 12.48 Mn |
| Mar 31, 2024 | 13.53 Mn |
| Dec 31, 2023 | 16.00 Mn |
| Sep 30, 2023 | 17.14 Mn |
| Jun 30, 2023 | 14.63 Mn |
| Mar 31, 2023 | 28.83 Mn |
| Dec 31, 2022 | 26.32 Mn |
| Sep 30, 2022 | 24.91 Mn |
| Jun 30, 2022 | 27.75 Mn |
| Mar 31, 2022 | 29.64 Mn |
| Dec 31, 2021 | 22.14 Mn |
API Access
Advanced Energy Industries Other Accumulated Expenses 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=other-accumulated-expenses&ticker=AEIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();