Jbt Marel (JBTM) Total Non-Current Liabilities (2010 - 2026)
Jbt Marel (JBTM) reported Total Non-Current Liabilities of $3.33 billion for Q2 2026, down 9.3% from $3.67 billion a year earlier and down 4.0% from the prior quarter.
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Analysis
Jbt Marel (JBTM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Jbt Marel posted Total Non-Current Liabilities of $3.48 billion, up 90.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.83 billion in FY2024 (+58.3%), $1.16 billion in FY2023 (-29.7%), $1.64 billion in FY2022 (+32.0%) and $1.25 billion in FY2021 (+19.9%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 99.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2025 (growth of 230.8%); the low point was Q4 2023 (a decline of 29.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.47 billion (Q1 2026), $3.48 billion (Q4 2025) and $3.54 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 316.25 Bn | 287.95 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 181.47 Bn | 176.05 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 172.60 Bn | 140.69 Bn | 4.66 Bn | - |
| 4 | Eaton | 143.01 Bn | 140.20 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 111.22 Bn | 109.35 Bn | 2.25 Bn | 14.72 Bn |
| 6 | 3M | 90.15 Bn | 71.59 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 89.90 Bn | 82.64 Bn | 2.66 Bn | 18.30 Bn |
| 8 | Illinois Tool Works | 78.95 Bn | 75.51 Bn | 1.90 Bn | 7.65 Bn |
| 9 | Vertiv Holdings | 74.37 Bn | 65.00 Bn | 1.23 Bn | 10.73 Bn |
| 10 | Jbt Marel | 5.69 Bn | 5.10 Bn | 359.00 Mn | 3.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.33 Bn |
| Mar 31, 2026 | 3.47 Bn |
| Dec 31, 2025 | 3.48 Bn |
| Sep 30, 2025 | 3.54 Bn |
| Jun 30, 2025 | 3.67 Bn |
| Mar 31, 2025 | 3.76 Bn |
| Dec 31, 2024 | 1.83 Bn |
| Sep 30, 2024 | 1.14 Bn |
| Jun 30, 2024 | 1.11 Bn |
| Mar 31, 2024 | 1.14 Bn |
| Dec 31, 2023 | 1.15 Bn |
| Sep 30, 2023 | 1.23 Bn |
| Jun 30, 2023 | 1.55 Bn |
| Mar 31, 2023 | 1.56 Bn |
| Dec 31, 2022 | 1.64 Bn |
| Sep 30, 2022 | 1.64 Bn |
| Jun 30, 2022 | 1.33 Bn |
| Mar 31, 2022 | 1.32 Bn |
| Dec 31, 2021 | 1.25 Bn |
| Sep 30, 2021 | 1.23 Bn |
API Access
Jbt Marel Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JBTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();