Advanced Energy Industries (AEIS) EBITDA (2010 - 2026)
Advanced Energy Industries' EBITDA was $111.6 million in Q2 2026, up 136.4% from $47.2 million a year earlier and up 32.7% from the prior quarter.
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Analysis
Advanced Energy Industries (AEIS) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Advanced Energy Industries' EBITDA was $331.8 million through Jun 30, 2026, up 119.3% year-over-year; for FY2025, it came in at $230 million, up 118.8% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In earlier years, EBITDA was $105.1 million in FY2024 (-41.7%), $180.2 million in FY2023 (-38.6%), $293.39 million in FY2022 (+43.4%) and $204.57 million in FY2021 (-8.6%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2010.
- Compared with a year earlier, EBITDA has increased for seven straight quarters, with growth averaging 161.3% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2025 (growth of 831.9%); the worst was Q3 2024 (a decline of 85.3%).
- Per Business Quant data, AEIS's EBITDA in the three quarters before Q2 2026 was $84.1 million (Q1 2026), $71.8 million (Q4 2025) and $64.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Advanced Energy Industries | 11.27 Bn | 7.63 Bn | 236.10 Mn | 111.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.60 Mn |
| Mar 31, 2026 | 84.10 Mn |
| Dec 31, 2025 | 71.80 Mn |
| Sep 30, 2025 | 64.30 Mn |
| Jun 30, 2025 | 47.20 Mn |
| Mar 31, 2025 | 46.70 Mn |
| Dec 31, 2024 | 50.50 Mn |
| Sep 30, 2024 | 6.90 Mn |
| Jun 30, 2024 | 29.80 Mn |
| Mar 31, 2024 | 17.90 Mn |
| Dec 31, 2023 | 30.51 Mn |
| Sep 30, 2023 | 46.86 Mn |
| Jun 30, 2023 | 46.27 Mn |
| Mar 31, 2023 | 56.56 Mn |
| Dec 31, 2022 | 73.96 Mn |
| Sep 30, 2022 | 93.13 Mn |
| Jun 30, 2022 | 67.75 Mn |
| Mar 31, 2022 | 58.55 Mn |
| Dec 31, 2021 | 55.88 Mn |
| Sep 30, 2021 | 37.69 Mn |
API Access
Advanced Energy Industries EBITDA 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=ebitda&ticker=AEIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();