Mettler Toledo International (MTD) Payables (2009 - 2026)
Mettler Toledo International (MTD) posted Payables of $229.8 million for Q2 2026, up 6.3% from $216.19 million a year earlier and up 0.5% from the prior quarter.
Mettler Toledo International (MTD) Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Mettler Toledo International's Payables came in at $266.63 million, up 23.5% from FY2024.
- Annual Payables shows a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In prior years, Mettler Toledo International's Payables was $215.84 million in FY2024 (+2.6%), $210.41 million in FY2023 (-16.7%), $252.54 million in FY2022 (-7.5%) and $272.91 million in FY2021 (+55.2%).
- Quarterly Payables has run from a low of $170.23 million in Q2 2023 to a high of $272.91 million in Q4 2021 over five years.
- On a year-over-year basis, Payables has increased in each of the last ten quarters, with growth averaging 12.4% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q4 2021, with growth of 55.2%; the weakest was Q2 2023, with a decline of 36.4%.
- According to Business Quant data, Payables for the three prior quarters was $228.72 million (Q1 2026), $266.63 million (Q4 2025) and $247.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 271.80 Bn | 243.49 Bn | 7.76 Bn | 16.11 Bn |
| 2 | Amphenol | 195.24 Bn | 190.08 Bn | 4.02 Bn | 5.18 Bn |
| 3 | Deere | 182.36 Bn | 191.12 Bn | 4.66 Bn | 14.11 Bn |
| 4 | Eaton | 137.06 Bn | 134.04 Bn | 3.11 Bn | 7.51 Bn |
| 5 | Parker-Hannifin | 114.61 Bn | 112.74 Bn | 2.25 Bn | 2.44 Bn |
| 6 | 3M | 100.26 Bn | 82.67 Bn | 2.78 Bn | 3.04 Bn |
| 7 | Emerson Electric | 94.99 Bn | 87.75 Bn | 2.66 Bn | 1.61 Bn |
| 8 | Illinois Tool Works | 83.42 Bn | 80.09 Bn | 1.91 Bn | 1.11 Bn |
| 9 | Vertiv Holdings | 79.14 Bn | 67.99 Bn | 1.64 Bn | 3.24 Bn |
| 10 | Mettler Toledo International | 37.39 Bn | 37.14 Bn | 650.22 Mn | 229.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229.80 Mn |
| Mar 31, 2026 | 228.72 Mn |
| Dec 31, 2025 | 266.63 Mn |
| Sep 30, 2025 | 247.40 Mn |
| Jun 30, 2025 | 216.19 Mn |
| Mar 31, 2025 | 201.42 Mn |
| Dec 31, 2024 | 215.84 Mn |
| Sep 30, 2024 | 202.86 Mn |
| Jun 30, 2024 | 199.46 Mn |
| Mar 31, 2024 | 189.45 Mn |
| Dec 31, 2023 | 210.41 Mn |
| Sep 30, 2023 | 173.97 Mn |
| Jun 30, 2023 | 170.23 Mn |
| Mar 31, 2023 | 176.73 Mn |
| Dec 31, 2022 | 252.54 Mn |
| Sep 30, 2022 | 226.68 Mn |
| Jun 30, 2022 | 267.52 Mn |
| Mar 31, 2022 | 259.35 Mn |
| Dec 31, 2021 | 272.91 Mn |
| Sep 30, 2021 | 219.29 Mn |
Mettler Toledo International Payables 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=payables&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();