Mettler Toledo International (MTD) Other Non-Current Liabilities (2009 - 2026)
Mettler Toledo International (MTD) recorded Other Non-Current Liabilities of $267.43 million in Q2 2026, down 14.7% from $313.54 million a year earlier and down 8.9% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mettler Toledo International reported Other Non-Current Liabilities of $298.14 million, up 13.2% from FY2024.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $263.48 million in FY2024 (-19.5%), $327.11 million in FY2023 (+9.0%), $300.03 million in FY2022 (-18.0%) and $365.8 million in FY2021 (-1.9%).
- The Q2 2026 figure is the lowest quarterly Other Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Other Non-Current Liabilities rose in five of the last eight quarters, with growth averaging 0.7%.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 15.1% in Q2 2025, against a decline of 19.5% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $293.46 million (Q1 2026), $298.14 million (Q4 2025) and $324.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 267.43 Mn |
| Mar 31, 2026 | 293.46 Mn |
| Dec 31, 2025 | 298.14 Mn |
| Sep 30, 2025 | 324.25 Mn |
| Jun 30, 2025 | 313.54 Mn |
| Mar 31, 2025 | 271.87 Mn |
| Dec 31, 2024 | 263.48 Mn |
| Sep 30, 2024 | 289.81 Mn |
| Jun 30, 2024 | 272.37 Mn |
| Mar 31, 2024 | 306.21 Mn |
| Dec 31, 2023 | 327.11 Mn |
| Sep 30, 2023 | 282.57 Mn |
| Jun 30, 2023 | 290.63 Mn |
| Mar 31, 2023 | 300.95 Mn |
| Dec 31, 2022 | 300.03 Mn |
| Sep 30, 2022 | 310.55 Mn |
| Jun 30, 2022 | 320.55 Mn |
| Mar 31, 2022 | 352.19 Mn |
| Dec 31, 2021 | 365.80 Mn |
| Sep 30, 2021 | 364.19 Mn |
API Access
Mettler Toledo International Other 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=other-non-current-liabilities&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();