Aebi Schmidt Holding AG (AEBI) Interest Expenses (2024 - 2026)
Aebi Schmidt Holding AG (AEBI) recorded Interest Expenses of $11.13 million in Q2 2026, up 19.6% from $9.3 million a year earlier.
Aebi Schmidt Holding AG (AEBI) Interest Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Aebi Schmidt Holding AG's Interest Expenses came in at $46.42 million as of Jun 30, 2026, up 43.6% year-over-year; for FY2025, it came in at $41.79 million, up 22.5% from FY2024.
- Across earlier years, Interest Expenses came in at $34.11 million in FY2024 (-10.3%) and $38.03 million in FY2023.
- Quarterly Interest Expenses has ranged from $6.5 million in Q1 2025 to $14.23 million in Q3 2025 over the past five years.
- On a year-over-year basis, Interest Expenses rose in four of the last five quarters, with growth averaging 22.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | - |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | - |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 17.40 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Aebi Schmidt Holding AG | 865.97 Mn | 468.17 Mn | 97.29 Mn | 11.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.13 Mn |
| Dec 31, 2025 | 11.76 Mn |
| Sep 30, 2025 | 14.23 Mn |
| Jun 30, 2025 | 9.30 Mn |
| Mar 31, 2025 | 6.50 Mn |
| Dec 31, 2024 | 7.80 Mn |
| Sep 30, 2024 | 8.73 Mn |
| Jun 30, 2024 | 8.47 Mn |
| Mar 31, 2024 | 9.11 Mn |
Aebi Schmidt Holding AG Interest 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=interest-expenses&ticker=AEBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=AEBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();