Jbt Marel (JBTM) Property, Plant & Equipment (Net) (2010 - 2026)
Jbt Marel (JBTM) posted Property, Plant & Equipment (Net) of $773 million for Q2 2026, down 3.8% from $803.7 million a year earlier and down 0.8% from the prior quarter.
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Analysis
Jbt Marel (JBTM) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Jbt Marel's Property, Plant & Equipment (Net) came in at $793 million, up 239.3% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- In prior years, Jbt Marel's Property, Plant & Equipment (Net) was $233.7 million in FY2024 (-5.8%), $248 million in FY2023 (+1.1%), $245.4 million in FY2022 (-8.3%) and $267.6 million in FY2021 (-0.1%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in five of the last eight quarters, with growth averaging 111.9%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q4 2025, with growth of 239.3%; the weakest was Q1 2024, with a decline of 9.7%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $779 million (Q1 2026), $793 million (Q4 2025) and $798.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | - |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | 6.97 Bn |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | 2.24 Bn |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | 1.18 Bn |
| 10 | Jbt Marel | 5.64 Bn | 5.05 Bn | 359.00 Mn | 773.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 773.00 Mn |
| Mar 31, 2026 | 779.00 Mn |
| Dec 31, 2025 | 793.00 Mn |
| Sep 30, 2025 | 798.90 Mn |
| Jun 30, 2025 | 803.70 Mn |
| Mar 31, 2025 | 742.90 Mn |
| Dec 31, 2024 | 233.70 Mn |
| Sep 30, 2024 | 243.30 Mn |
| Jun 30, 2024 | 242.00 Mn |
| Mar 31, 2024 | 246.70 Mn |
| Dec 31, 2023 | 248.00 Mn |
| Sep 30, 2023 | 245.10 Mn |
| Jun 30, 2023 | 246.60 Mn |
| Mar 31, 2023 | 273.10 Mn |
| Dec 31, 2022 | 245.40 Mn |
| Sep 30, 2022 | 262.20 Mn |
| Jun 30, 2022 | 263.40 Mn |
| Mar 31, 2022 | 269.20 Mn |
| Dec 31, 2021 | 267.60 Mn |
| Sep 30, 2021 | 268.30 Mn |
API Access
Jbt Marel Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=JBTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();