Mettler Toledo International (MTD) Total Non-Current Liabilities (2009 - 2026)
Mettler Toledo International (MTD) reported Total Non-Current Liabilities of $3.39 billion for Q2 2026, up 1.3% from $3.35 billion a year earlier but down 0.8% from the prior quarter.
Mettler Toledo International (MTD) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mettler Toledo International posted Total Non-Current Liabilities of $3.44 billion, up 10.8% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $3.1 billion in FY2024 (-2.4%), $3.18 billion in FY2023 (+0.3%), $3.17 billion in FY2022 (+13.6%) and $2.79 billion in FY2021 (+29.2%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $2.68 billion in Q3 2021 and a high of $3.45 billion in Q3 2025.
- Year over year, Total Non-Current Liabilities has now increased in each of the last six quarters, with growth averaging 4.5% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2021 (growth of 35.9%); the low point was Q4 2024 (a decline of 2.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.42 billion (Q1 2026), $3.44 billion (Q4 2025) and $3.45 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 3.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.39 Bn |
| Mar 31, 2026 | 3.42 Bn |
| Dec 31, 2025 | 3.44 Bn |
| Sep 30, 2025 | 3.45 Bn |
| Jun 30, 2025 | 3.35 Bn |
| Mar 31, 2025 | 3.14 Bn |
| Dec 31, 2024 | 3.10 Bn |
| Sep 30, 2024 | 3.18 Bn |
| Jun 30, 2024 | 3.13 Bn |
| Mar 31, 2024 | 3.14 Bn |
| Dec 31, 2023 | 3.18 Bn |
| Sep 30, 2023 | 3.11 Bn |
| Jun 30, 2023 | 3.17 Bn |
| Mar 31, 2023 | 3.13 Bn |
| Dec 31, 2022 | 3.17 Bn |
| Sep 30, 2022 | 3.07 Bn |
| Jun 30, 2022 | 3.01 Bn |
| Mar 31, 2022 | 2.92 Bn |
| Dec 31, 2021 | 2.79 Bn |
| Sep 30, 2021 | 2.68 Bn |
Mettler Toledo International Total Non-Current 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-non-current-liabilities&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();