Advanced Energy Industries (AEIS) Cost of Revenue (2009 - 2026)
Advanced Energy Industries' Cost of Revenue was $407.3 million in Q3 2026, up 41.0% from $288.9 million a year earlier and up 20.5% from the prior quarter.
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Analysis
Advanced Energy Industries (AEIS) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Advanced Energy Industries' Cost of Revenue was $1.36 billion through Sep 30, 2026, up 25.3% year-over-year; for FY2025, it was $1.12 billion, up 17.7% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $952.7 million in FY2024 (-10.4%), $1.06 billion in FY2023 (-9.1%), $1.17 billion in FY2022 (+26.7%) and $923.63 million in FY2021 (+5.7%).
- The Q3 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2010.
- Compared with a year earlier, Cost of Revenue has increased for seven straight quarters, with growth averaging 19.4% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2022 (growth of 43.8%); the worst was Q1 2024 (a decline of 20.5%).
- Per Business Quant data, AEIS's Cost of Revenue in the three quarters before Q3 2026 was $338 million (Q2 2026), $310.1 million (Q1 2026) and $300.3 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 13.33 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 6.21 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 5.84 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 3.73 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 3.80 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 2.46 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 2.33 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 2.67 Bn |
| 10 | Advanced Energy Industries | 8.87 Bn | 4.56 Bn | 289.10 Mn | 407.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 407.30 Mn |
| Jun 30, 2026 | 338.00 Mn |
| Mar 31, 2026 | 310.10 Mn |
| Dec 31, 2025 | 300.30 Mn |
| Sep 30, 2025 | 288.90 Mn |
| Jun 30, 2025 | 278.10 Mn |
| Mar 31, 2025 | 254.10 Mn |
| Dec 31, 2024 | 260.80 Mn |
| Sep 30, 2024 | 240.10 Mn |
| Jun 30, 2024 | 237.20 Mn |
| Mar 31, 2024 | 214.60 Mn |
| Dec 31, 2023 | 262.39 Mn |
| Sep 30, 2023 | 262.65 Mn |
| Jun 30, 2023 | 268.43 Mn |
| Mar 31, 2023 | 269.93 Mn |
| Dec 31, 2022 | 312.93 Mn |
| Sep 30, 2022 | 325.06 Mn |
| Jun 30, 2022 | 278.79 Mn |
| Mar 31, 2022 | 253.14 Mn |
| Dec 31, 2021 | 257.18 Mn |
API Access
Advanced Energy Industries Cost of Revenue 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=cost-of-revenue&ticker=AEIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AEIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();