Jbt Marel (JBTM) Non Operating Interest Expenses (2010 - 2026)
Jbt Marel (JBTM) posted Non Operating Interest Expenses of $13 million for Q2 2026, down 55.2% from $29 million a year earlier.
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Analysis
Jbt Marel (JBTM) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Jbt Marel was $82.2 million, down 1.9% year-over-year; for FY2025, it was $114.4 million, up 489.7% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 52.4% (FY2020 to FY2025).
- In prior years, Jbt Marel's Non Operating 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 Q2 2026 figure stands as the lowest quarterly Non Operating Interest Expenses since Q4 2024.
- On a year-over-year basis, Non Operating Interest Expenses increased in four of the last six quarters, with growth averaging 213.9%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q2 2025, with growth of 607.3%; the weakest was Q1 2024, with a decline of 61.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 135.00 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 | 710.00 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 |
| Dec 31, 2025 | 15.50 Mn |
| Sep 30, 2025 | 24.70 Mn |
| Jun 30, 2025 | 29.00 Mn |
| Mar 31, 2025 | 42.40 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 |
| Mar 31, 2018 | 3.70 Mn |
API Access
Jbt Marel Non Operating 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=non-operating-interest-expenses&ticker=JBTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();