Aebi Schmidt Holding AG (AEBI) Non Operating Interest Expenses (2024 - 2026)
Aebi Schmidt Holding AG's Non Operating Interest Expenses came in at $11.13 million for Q2 2026, up 19.6% from $9.3 million a year earlier.
Aebi Schmidt Holding AG (AEBI) Non Operating Interest Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Aebi Schmidt Holding AG reported Non Operating Interest Expenses of $46.42 million, up 43.6% year-over-year; for FY2025, it came in at $41.79 million, up 22.5% from FY2024.
- Going back by year, Non Operating Interest Expenses was $34.11 million in FY2024 (-10.3%) and $38.03 million in FY2023.
- The five-year range for quarterly Non Operating Interest Expenses is $6.5 million (Q1 2025) to $14.23 million (Q3 2025).
- Year-over-year, Non Operating Interest Expenses increased in four of the last five quarters, with growth averaging 22.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 95.00 Mn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | - |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 79.00 Mn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 17.40 Mn |
| 10 | Aebi Schmidt Holding AG | 861.34 Mn | 463.54 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 Non Operating 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=non-operating-interest-expenses&ticker=AEBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=AEBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();