Aebi Schmidt Holding AG (AEBI) Cost of Revenue (2024 - 2026)
Aebi Schmidt Holding AG (AEBI) reported Cost of Revenue of $399.12 million for Q2 2026, up 80.7% from $220.91 million a year earlier.
Aebi Schmidt Holding AG (AEBI) Cost of Revenue (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Aebi Schmidt Holding AG's Cost of Revenue came in at $1.43 billion, up 64.8% year-over-year; for FY2025, it came in at $1.22 billion, up 42.5% from FY2024.
- By year, Cost of Revenue came in at $857.72 million in FY2024 (+6.0%) and $808.92 million in FY2023.
- Five-year quarterly Cost of Revenue spans a low of $195.88 million in Q1 2025 and a high of $428.57 million in Q4 2025.
- Year over year, Cost of Revenue gained in four of the last five quarters, with growth averaging 48.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | 3.80 Bn |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | 2.40 Bn |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | 2.04 Bn |
| 10 | Aebi Schmidt Holding AG | 853.25 Mn | 455.44 Mn | 97.29 Mn | 399.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 399.12 Mn |
| Dec 31, 2025 | 428.57 Mn |
| Sep 30, 2025 | 377.21 Mn |
| Jun 30, 2025 | 220.91 Mn |
| Mar 31, 2025 | 195.88 Mn |
| Dec 31, 2024 | 240.77 Mn |
| Sep 30, 2024 | 207.57 Mn |
| Jun 30, 2024 | 209.10 Mn |
| Mar 31, 2024 | 200.28 Mn |
Aebi Schmidt Holding AG 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=AEBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "AEBI", "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=AEBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();