Mettler Toledo International (MTD) Cash & Equivalents (2009 - 2026)
Mettler Toledo International's Cash & Equivalents came in at $51.4 million for Q2 2026, down 16.9% from $61.83 million a year earlier and down 15.2% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Mettler Toledo International's Cash & Equivalents was $66.89 million, up 12.7% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -6.6% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $59.36 million in FY2024 (-15.0%), $69.81 million in FY2023 (-27.3%), $95.97 million in FY2022 (-2.6%) and $98.56 million in FY2021 (+4.6%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents in data going back to Q2 2009.
- Year-over-year, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 5.8%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2021 (growth of 19.5%), and the weakest in Q3 2023 (a decline of 42.9%).
- Business Quant data shows MTD's Cash & Equivalents at $60.6 million (Q1 2026), $66.89 million (Q4 2025) and $69.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 51.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.40 Mn |
| Mar 31, 2026 | 60.60 Mn |
| Dec 31, 2025 | 66.89 Mn |
| Sep 30, 2025 | 69.10 Mn |
| Jun 30, 2025 | 61.83 Mn |
| Mar 31, 2025 | 64.29 Mn |
| Dec 31, 2024 | 59.36 Mn |
| Sep 30, 2024 | 71.60 Mn |
| Jun 30, 2024 | 70.81 Mn |
| Mar 31, 2024 | 70.19 Mn |
| Dec 31, 2023 | 69.81 Mn |
| Sep 30, 2023 | 69.70 Mn |
| Jun 30, 2023 | 83.60 Mn |
| Mar 31, 2023 | 89.09 Mn |
| Dec 31, 2022 | 95.97 Mn |
| Sep 30, 2022 | 122.14 Mn |
| Jun 30, 2022 | 109.45 Mn |
| Mar 31, 2022 | 116.95 Mn |
| Dec 31, 2021 | 98.56 Mn |
| Sep 30, 2021 | 183.70 Mn |
API Access
Mettler Toledo International Cash & Equivalents 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-and-equivalents&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();