Mettler Toledo International (MTD) Capital Expenditures (2009 - 2026)
Mettler Toledo International's Capital Expenditures was $27.79 million in Q2 2026, up 16.4% from $23.88 million a year earlier and up 59.6% from the prior quarter.
Mettler Toledo International (MTD) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mettler Toledo International's Capital Expenditures was $111.2 million through Jun 30, 2026, up 7.1% year-over-year; for FY2025, it came in at $107.12 million, up 3.1% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $103.9 million in FY2024 (-1.4%), $105.32 million in FY2023 (-13.1%), $121.24 million in FY2022 (+12.7%) and $107.58 million in FY2021 (+16.3%).
- Quarterly Capital Expenditures has moved between $17.26 million (Q1 2025) and $43.24 million (Q2 2022) over five years.
- Compared with a year earlier, Capital Expenditures has increased for five straight quarters, with growth averaging 7.7% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2022 (growth of 90.0%); the worst was Q2 2023 (a decline of 33.5%).
- Per Business Quant data, MTD's Capital Expenditures in the three quarters before Q2 2026 was $17.41 million (Q1 2026), $41.5 million (Q4 2025) and $24.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 587.00 Mn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | 638.00 Mn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 173.30 Mn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 102.00 Mn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 223.00 Mn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 92.00 Mn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 27.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.79 Mn |
| Mar 31, 2026 | 17.41 Mn |
| Dec 31, 2025 | 41.50 Mn |
| Sep 30, 2025 | 24.49 Mn |
| Jun 30, 2025 | 23.88 Mn |
| Mar 31, 2025 | 17.26 Mn |
| Dec 31, 2024 | 41.28 Mn |
| Sep 30, 2024 | 21.42 Mn |
| Jun 30, 2024 | 23.81 Mn |
| Mar 31, 2024 | 17.39 Mn |
| Dec 31, 2023 | 32.42 Mn |
| Sep 30, 2023 | 20.96 Mn |
| Jun 30, 2023 | 28.75 Mn |
| Mar 31, 2023 | 23.20 Mn |
| Dec 31, 2022 | 32.03 Mn |
| Sep 30, 2022 | 26.82 Mn |
| Jun 30, 2022 | 43.24 Mn |
| Mar 31, 2022 | 19.15 Mn |
| Dec 31, 2021 | 37.78 Mn |
| Sep 30, 2021 | 22.43 Mn |
Mettler Toledo International Capital Expenditures 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=capital-expenditures&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();