Mettler Toledo International (MTD) Cash from Operations (2009 - 2026)
Mettler Toledo International's Cash from Operations came in at $310.42 million for Q2 2026, up 31.3% from $236.37 million a year earlier and up 122.1% from the prior quarter.
Mettler Toledo International (MTD) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mettler Toledo International reported Cash from Operations of $975.17 million, up 2.5% year-over-year; for FY2025, it was $955.77 million, down 1.3% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $968.35 million in FY2024 (+0.3%), $965.87 million in FY2023 (+12.4%), $859.07 million in FY2022 (-5.5%) and $908.83 million in FY2021 (+25.4%).
- The Q2 2026 figure represents the highest quarterly Cash from Operations in data going back to Q3 2009.
- Year-over-year, Cash from Operations increased in three of the last eight quarters, with an average decline of 1.2%.
- The fastest year-over-year change in Cash from Operations over five years came in Q1 2023 (growth of 68.7%), and the weakest in Q1 2022 (a decline of 42.8%).
- Business Quant data shows MTD's Cash from Operations at $139.79 million (Q1 2026), $225.59 million (Q4 2025) and $299.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 4.37 Bn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 1.56 Bn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | 2.21 Bn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 1.13 Bn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 1.74 Bn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 1.10 Bn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 1.42 Bn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 986.00 Mn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 723.00 Mn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 310.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 310.42 Mn |
| Mar 31, 2026 | 139.79 Mn |
| Dec 31, 2025 | 225.59 Mn |
| Sep 30, 2025 | 299.37 Mn |
| Jun 30, 2025 | 236.37 Mn |
| Mar 31, 2025 | 194.45 Mn |
| Dec 31, 2024 | 266.19 Mn |
| Sep 30, 2024 | 254.67 Mn |
| Jun 30, 2024 | 257.51 Mn |
| Mar 31, 2024 | 189.99 Mn |
| Dec 31, 2023 | 281.51 Mn |
| Sep 30, 2023 | 264.30 Mn |
| Jun 30, 2023 | 266.81 Mn |
| Mar 31, 2023 | 153.26 Mn |
| Dec 31, 2022 | 303.64 Mn |
| Sep 30, 2022 | 245.43 Mn |
| Jun 30, 2022 | 219.16 Mn |
| Mar 31, 2022 | 90.84 Mn |
| Dec 31, 2021 | 241.11 Mn |
| Sep 30, 2021 | 263.31 Mn |
Mettler Toledo International Cash from Operations 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=cash-from-operations&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();