Aebi Schmidt Holding AG (AEBI) EBITDA (2024 - 2026)
Aebi Schmidt Holding AG (AEBI) posted EBITDA of $32.58 million for Q2 2026, up 60.6% from $20.29 million a year earlier.
Aebi Schmidt Holding AG (AEBI) EBITDA (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Aebi Schmidt Holding AG was $128.82 million, up 53.5% year-over-year; for FY2025, it came in at $117.27 million, up 23.6% from FY2024.
- In prior years, Aebi Schmidt Holding AG's EBITDA was $94.91 million in FY2024 (+10.1%) and $86.2 million in FY2023.
- Quarterly EBITDA has run from a low of $19.74 million in Q4 2024 to a high of $43.48 million in Q4 2025 over five years.
- On a year-over-year basis, EBITDA increased in three of the last five quarters, with growth averaging 36.2%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 1.32 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 1.25 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 754.30 Mn |
| 10 | Aebi Schmidt Holding AG | 861.34 Mn | 463.54 Mn | 97.29 Mn | 32.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.58 Mn |
| Dec 31, 2025 | 43.48 Mn |
| Sep 30, 2025 | 32.49 Mn |
| Jun 30, 2025 | 20.29 Mn |
| Mar 31, 2025 | 21.02 Mn |
| Dec 31, 2024 | 19.74 Mn |
| Sep 30, 2024 | 22.90 Mn |
| Jun 30, 2024 | 25.83 Mn |
| Mar 31, 2024 | 26.44 Mn |
Aebi Schmidt Holding AG 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=AEBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AEBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();