Mettler Toledo International (MTD) Tax Provisions (2009 - 2026)
Mettler Toledo International's Tax Provisions was $56.5 million in Q2 2026, up 22.0% from $46.31 million a year earlier and up 40.5% from the prior quarter.
Mettler Toledo International (MTD) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mettler Toledo International's Tax Provisions was $191.76 million through Jun 30, 2026, down 1.3% year-over-year; for FY2025, it came in at $179.72 million, up 3.2% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $174.08 million in FY2024 (-5.9%), $184.95 million in FY2023 (-6.6%), $198.09 million in FY2022 (+9.8%) and $180.38 million in FY2021 (+23.5%).
- The Q2 2026 figure marks the highest quarterly Tax Provisions since Q4 2024.
- Compared with a year earlier, Tax Provisions was higher in five of the last eight quarters, with growth averaging 17.2%.
- The best year-over-year quarter for Tax Provisions over five years was Q2 2025 (growth of 116.8%); the worst was Q2 2024 (a decline of 56.8%).
- Per Business Quant data, MTD's Tax Provisions in the three quarters before Q2 2026 was $40.2 million (Q1 2026), $43.31 million (Q4 2025) and $51.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 271.80 Bn | 243.49 Bn | 7.76 Bn | 1.06 Bn |
| 2 | Amphenol | 195.24 Bn | 190.08 Bn | 4.02 Bn | 774.50 Mn |
| 3 | Deere | 182.36 Bn | 191.12 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 137.06 Bn | 134.04 Bn | 3.11 Bn | 291.00 Mn |
| 5 | Parker-Hannifin | 114.61 Bn | 112.74 Bn | 2.25 Bn | 248.00 Mn |
| 6 | 3M | 100.26 Bn | 82.67 Bn | 2.78 Bn | 261.00 Mn |
| 7 | Emerson Electric | 94.99 Bn | 87.75 Bn | 2.66 Bn | 198.00 Mn |
| 8 | Illinois Tool Works | 83.42 Bn | 80.09 Bn | 1.91 Bn | 276.00 Mn |
| 9 | Vertiv Holdings | 79.14 Bn | 67.99 Bn | 1.64 Bn | 230.30 Mn |
| 10 | Mettler Toledo International | 37.39 Bn | 37.14 Bn | 650.22 Mn | 56.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.50 Mn |
| Mar 31, 2026 | 40.20 Mn |
| Dec 31, 2025 | 43.31 Mn |
| Sep 30, 2025 | 51.74 Mn |
| Jun 30, 2025 | 46.31 Mn |
| Mar 31, 2025 | 38.36 Mn |
| Dec 31, 2024 | 62.25 Mn |
| Sep 30, 2024 | 47.44 Mn |
| Jun 30, 2024 | 21.36 Mn |
| Mar 31, 2024 | 43.04 Mn |
| Dec 31, 2023 | 47.76 Mn |
| Sep 30, 2023 | 49.53 Mn |
| Jun 30, 2023 | 49.48 Mn |
| Mar 31, 2023 | 38.18 Mn |
| Dec 31, 2022 | 59.18 Mn |
| Sep 30, 2022 | 55.29 Mn |
| Jun 30, 2022 | 44.62 Mn |
| Mar 31, 2022 | 39.00 Mn |
| Dec 31, 2021 | 55.11 Mn |
| Sep 30, 2021 | 43.90 Mn |
Mettler Toledo International Tax Provisions 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=tax-provisions&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();