Jbt Marel (JBTM) Operating Expenses (2010 - 2026)
Jbt Marel (JBTM) reported Operating Expenses of $313 million for Q2 2026, down 2.9% from $322.4 million a year earlier but up 20.8% from the prior quarter.
Powered by 
Analysis
Jbt Marel (JBTM) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Jbt Marel's Operating Expenses came in at $836.9 million, up 3.5% year-over-year; for FY2025, it was $29.3 million.
- Operating Expenses has a five-year compound annual growth rate of -39.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.4 million in FY2024 (-99.7%), $421 million in FY2023 (+6.1%), $396.8 million in FY2022 (+11.3%) and $356.5 million in FY2021 (-3.8%).
- Five-year quarterly Operating Expenses spans a low of $300,000 in Q4 2024 and a high of $369.2 million in Q1 2025.
- Year over year, Operating Expenses gained in four of the last seven quarters, with growth averaging 57.9%.
- The high point for year-over-year Operating Expenses in five years was Q1 2025 (growth of 232.0%); the low point was Q4 2024 (a decline of 99.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $259 million (Q1 2026), $7.2 million (Q4 2025) and $257.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | - |
| 10 | Jbt Marel | 5.72 Bn | 5.13 Bn | 359.00 Mn | 313.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 313.00 Mn |
| Mar 31, 2026 | 259.00 Mn |
| Dec 31, 2025 | 7.20 Mn |
| Sep 30, 2025 | 257.70 Mn |
| Jun 30, 2025 | 322.40 Mn |
| Mar 31, 2025 | 369.20 Mn |
| Dec 31, 2024 | 300,000.00 |
| Sep 30, 2024 | 116.80 Mn |
| Jun 30, 2024 | 116.40 Mn |
| Mar 31, 2024 | 111.20 Mn |
| Dec 31, 2023 | 105.70 Mn |
| Sep 30, 2023 | 107.90 Mn |
| Jun 30, 2023 | 102.90 Mn |
| Mar 31, 2023 | 104.50 Mn |
| Dec 31, 2022 | 102.60 Mn |
| Sep 30, 2022 | 100.70 Mn |
| Jun 30, 2022 | 96.70 Mn |
| Mar 31, 2022 | 108.90 Mn |
| Dec 31, 2021 | 56.50 Mn |
| Sep 30, 2021 | 102.00 Mn |
API Access
Jbt Marel Operating Expenses 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=operating-expenses&ticker=JBTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();