Mettler Toledo International (MTD) Interest Expenses (2009 - 2026)
Mettler Toledo International's Interest Expenses was $17.25 million in Q2 2026, up 2.8% from $16.78 million a year earlier and up 1.4% from the prior quarter.
Mettler Toledo International (MTD) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mettler Toledo International's Interest Expenses was $69.34 million through Jun 30, 2026, down 0.8% year-over-year; for FY2025, it was $68.52 million, down 8.2% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $74.63 million in FY2024 (-3.5%), $77.37 million in FY2023 (+39.7%), $55.39 million in FY2022 (+28.1%) and $43.24 million in FY2021 (+12.0%).
- Quarterly Interest Expenses has moved between $11.34 million (Q1 2022) and $20.28 million (Q3 2023) over five years.
- Compared with a year earlier, Interest Expenses was higher in two of the last eight quarters, with an average decline of 5.6%.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2023 (growth of 60.4%); the worst was Q1 2025 (a decline of 13.4%).
- Per Business Quant data, MTD's Interest Expenses in the three quarters before Q2 2026 was $17.01 million (Q1 2026), $17.39 million (Q4 2025) and $17.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | - |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 17.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.25 Mn |
| Mar 31, 2026 | 17.01 Mn |
| Dec 31, 2025 | 17.39 Mn |
| Sep 30, 2025 | 17.70 Mn |
| Jun 30, 2025 | 16.78 Mn |
| Mar 31, 2025 | 16.65 Mn |
| Dec 31, 2024 | 17.85 Mn |
| Sep 30, 2024 | 18.60 Mn |
| Jun 30, 2024 | 18.95 Mn |
| Mar 31, 2024 | 19.23 Mn |
| Dec 31, 2023 | 19.66 Mn |
| Sep 30, 2023 | 20.28 Mn |
| Jun 30, 2023 | 19.25 Mn |
| Mar 31, 2023 | 18.18 Mn |
| Dec 31, 2022 | 16.81 Mn |
| Sep 30, 2022 | 14.48 Mn |
| Jun 30, 2022 | 12.77 Mn |
| Mar 31, 2022 | 11.34 Mn |
| Dec 31, 2021 | 11.54 Mn |
| Sep 30, 2021 | 11.79 Mn |
Mettler Toledo International 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=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "MTD", "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=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();