Jbt Marel (JBTM) Interest Expenses (2010 - 2026)
Jbt Marel's Interest Expenses came in at $13 million for Q2 2026, down 55.2% from $29 million a year earlier but up 30.0% from the prior quarter.
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Analysis
Jbt Marel (JBTM) Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jbt Marel reported Interest Expenses of $63.2 million, down 23.3% year-over-year; for FY2025, it came in at $114.4 million, up 489.7% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 52.4% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $19.4 million in FY2024 (-20.2%), $24.3 million in FY2023 (+49.1%), $16.3 million in FY2022 (+45.5%) and $11.2 million in FY2021 (-19.4%).
- The five-year range for quarterly Interest Expenses is $2.9 million (Q1 2024) to $41 million (Q1 2025).
- Year-over-year, Interest Expenses increased in four of the last seven quarters, with growth averaging 172.6%.
- The fastest year-over-year change in Interest Expenses over five years came in Q2 2025 (growth of 607.3%), and the weakest in Q1 2026 (a decline of 75.6%).
- Business Quant data shows JBTM's Interest Expenses at $10 million (Q1 2026), $15.5 million (Q4 2025) and $24.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Jbt Marel | 5.47 Bn | 4.88 Bn | 359.00 Mn | 13.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.00 Mn |
| Mar 31, 2026 | 10.00 Mn |
| Dec 31, 2025 | 15.50 Mn |
| Sep 30, 2025 | 24.70 Mn |
| Jun 30, 2025 | 29.00 Mn |
| Mar 31, 2025 | 41.00 Mn |
| Dec 31, 2024 | 8.30 Mn |
| Sep 30, 2024 | 4.10 Mn |
| Jun 30, 2024 | 4.10 Mn |
| Mar 31, 2024 | 2.90 Mn |
| Dec 31, 2023 | 3.10 Mn |
| Sep 30, 2023 | 5.50 Mn |
| Jun 30, 2023 | 8.20 Mn |
| Mar 31, 2023 | 7.50 Mn |
| Dec 31, 2020 | 25.10 Mn |
| Sep 30, 2020 | -2.90 Mn |
| Jun 30, 2020 | -3.50 Mn |
| Dec 31, 2019 | 32.20 Mn |
| Sep 30, 2019 | -5.90 Mn |
| Jun 30, 2019 | -4.20 Mn |
API Access
Jbt Marel Interest 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=interest-expenses&ticker=JBTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();