Mettler Toledo International (MTD) Total Liabilities (2009 - 2026)
Mettler Toledo International's Total Liabilities was $3.66 billion in Q2 2026, unchanged from $3.66 billion a year earlier and down 1.4% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Mettler Toledo International came in at $3.74 billion, up 11.0% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $3.37 billion in FY2024 (-4.0%), $3.51 billion in FY2023 (+1.1%), $3.47 billion in FY2022 (+9.9%) and $3.16 billion in FY2021 (+24.6%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q1 2025.
- Compared with a year earlier, Total Liabilities was higher in five of the last eight quarters, with growth averaging 4.2%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 31.2%); the worst was Q4 2024 (a decline of 4.0%).
- Per Business Quant data, MTD's Total Liabilities in the three quarters before Q2 2026 was $3.71 billion (Q1 2026), $3.74 billion (Q4 2025) and $3.77 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 271.80 Bn | 243.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 195.24 Bn | 190.08 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 182.36 Bn | 191.12 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.06 Bn | 134.04 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 114.61 Bn | 112.74 Bn | 2.25 Bn | 15.46 Bn |
| 6 | 3M | 100.26 Bn | 82.67 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 94.99 Bn | 87.75 Bn | 2.66 Bn | 21.81 Bn |
| 8 | Illinois Tool Works | 83.42 Bn | 80.09 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 79.14 Bn | 67.99 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Mettler Toledo International | 37.39 Bn | 37.14 Bn | 650.22 Mn | 3.66 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.66 Bn |
| Mar 31, 2026 | 3.71 Bn |
| Dec 31, 2025 | 3.74 Bn |
| Sep 30, 2025 | 3.77 Bn |
| Jun 30, 2025 | 3.66 Bn |
| Mar 31, 2025 | 3.42 Bn |
| Dec 31, 2024 | 3.37 Bn |
| Sep 30, 2024 | 3.47 Bn |
| Jun 30, 2024 | 3.40 Bn |
| Mar 31, 2024 | 3.44 Bn |
| Dec 31, 2023 | 3.51 Bn |
| Sep 30, 2023 | 3.39 Bn |
| Jun 30, 2023 | 3.46 Bn |
| Mar 31, 2023 | 3.43 Bn |
| Dec 31, 2022 | 3.47 Bn |
| Sep 30, 2022 | 3.38 Bn |
| Jun 30, 2022 | 3.33 Bn |
| Mar 31, 2022 | 3.27 Bn |
| Dec 31, 2021 | 3.16 Bn |
| Sep 30, 2021 | 3.05 Bn |
API Access
Mettler Toledo International Total Liabilities 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=total-liabilities&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();