Jbt Marel (JBTM) Current Debt (2010 - 2026)
Jbt Marel's Current Debt came in at -$2.38 billion for FY2025.
Analysis
Jbt Marel (JBTM) Current Debt (2010 - 2026) Analysis & Trends
Going back to FY2009, Jbt Marel's Current Debt data covers 16 years.
- The FY2025 figure represents the lowest annual Current Debt in data going back to FY2009.
- Per Business Quant, earlier years put Current Debt at -$1.03 billion in FY2023, $292.3 million in FY2022 (+251.7%) and $83.1 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 266.00 Mn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | - |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 959.00 Mn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | -419.00 Mn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | -1.06 Bn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | -593.00 Mn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 596.00 Mn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | - |
| 10 | Jbt Marel | 5.68 Bn | 5.09 Bn | 359.00 Mn | 436.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 436.00 Mn |
| Mar 31, 2026 | -38.00 Mn |
| Dec 31, 2025 | 166.40 Mn |
| Sep 30, 2025 | -573.80 Mn |
| Jun 30, 2025 | -71.00 Mn |
| Mar 31, 2025 | 12.40 Mn |
| Dec 31, 2023 | -687.20 Mn |
| Sep 30, 2023 | -306.50 Mn |
| Jun 30, 2023 | -7.10 Mn |
| Mar 31, 2023 | -25.90 Mn |
| Dec 31, 2022 | -19.50 Mn |
| Sep 30, 2022 | 310.90 Mn |
| Jun 30, 2022 | 5.40 Mn |
| Mar 31, 2022 | -4.50 Mn |
| Dec 31, 2021 | 341.80 Mn |
| Sep 30, 2021 | 11.40 Mn |
| Jun 30, 2021 | -268.20 Mn |
| Mar 31, 2021 | -1.90 Mn |
| Dec 31, 2020 | -193.20 Mn |
| Sep 30, 2020 | 100,000.00 |
API Access
Jbt Marel Current Debt 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=current-debt&ticker=JBTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();