Jbt Marel (JBTM) Capital Expenditures (2010 - 2026)
Jbt Marel (JBTM) posted Capital Expenditures of $25 million for Q2 2026, up 31.6% from $19 million a year earlier but down 3.8% from the prior quarter.
Jbt Marel (JBTM) Capital Expenditures (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Jbt Marel was $115.6 million, up 106.8% year-over-year; for FY2025, it was $103.6 million, up 173.4% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- In prior years, Jbt Marel's Capital Expenditures was $37.9 million in FY2024 (-31.2%), $55.1 million in FY2023 (-34.9%), $84.6 million in FY2022 (+63.6%) and $51.7 million in FY2021 (+50.7%).
- Quarterly Capital Expenditures has run from a low of $6.9 million in Q3 2024 to a high of $33.9 million in Q4 2025 over five years.
- On a year-over-year basis, Capital Expenditures has increased in each of the last seven quarters, with growth averaging 99.1% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2025, with growth of 344.9%; the weakest was Q4 2023, with a decline of 58.2%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $26 million (Q1 2026), $33.9 million (Q4 2025) and $30.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 1.11 Bn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 903.00 Mn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 173.00 Mn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | 256.00 Mn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | 102.00 Mn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 92.00 Mn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 173.30 Mn |
| 10 | Jbt Marel | 5.68 Bn | 5.09 Bn | 359.00 Mn | 25.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.00 Mn |
| Mar 31, 2026 | 26.00 Mn |
| Dec 31, 2025 | 33.90 Mn |
| Sep 30, 2025 | 30.70 Mn |
| Jun 30, 2025 | 19.00 Mn |
| Mar 31, 2025 | 20.00 Mn |
| Dec 31, 2024 | 10.00 Mn |
| Sep 30, 2024 | 6.90 Mn |
| Jun 30, 2024 | 10.50 Mn |
| Mar 31, 2024 | 10.50 Mn |
| Dec 31, 2023 | 8.90 Mn |
| Sep 30, 2023 | 10.90 Mn |
| Jun 30, 2023 | 19.00 Mn |
| Mar 31, 2023 | 16.30 Mn |
| Dec 31, 2022 | 21.30 Mn |
| Sep 30, 2022 | 20.60 Mn |
| Jun 30, 2022 | 16.00 Mn |
| Mar 31, 2022 | 26.70 Mn |
| Dec 31, 2021 | 17.80 Mn |
| Sep 30, 2021 | 13.60 Mn |
Jbt Marel Capital Expenditures 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=capital-expenditures&ticker=JBTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "JBTM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();