Jbt Marel (JBTM) Total Current Liabilities (2010 - 2026)
Jbt Marel's Total Current Liabilities was $1.3 billion in Q2 2026, down 20.7% from $1.64 billion a year earlier and down 21.4% from the prior quarter.
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Analysis
Jbt Marel (JBTM) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Jbt Marel came in at $1.62 billion, up 202.9% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 28.8% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $535.5 million in FY2024 (+10.5%), $484.4 million in FY2023 (-22.4%), $624 million in FY2022 (+13.5%) and $549.9 million in FY2021 (+20.2%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q1 2025.
- Compared with a year earlier, Total Current Liabilities was higher in six of the last eight quarters, with growth averaging 110.9%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2025 (growth of 271.1%); the worst was Q2 2024 (a decline of 27.4%).
- Per Business Quant data, JBTM's Total Current Liabilities in the three quarters before Q2 2026 was $1.66 billion (Q1 2026), $1.62 billion (Q4 2025) and $1.65 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | - |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 6.10 Bn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | 10.77 Bn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 5.95 Bn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 7.24 Bn |
| 10 | Jbt Marel | 5.68 Bn | 5.09 Bn | 359.00 Mn | 1.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.30 Bn |
| Mar 31, 2026 | 1.66 Bn |
| Dec 31, 2025 | 1.62 Bn |
| Sep 30, 2025 | 1.65 Bn |
| Jun 30, 2025 | 1.64 Bn |
| Mar 31, 2025 | 1.18 Bn |
| Dec 31, 2024 | 535.50 Mn |
| Sep 30, 2024 | 473.40 Mn |
| Jun 30, 2024 | 442.90 Mn |
| Mar 31, 2024 | 466.10 Mn |
| Dec 31, 2023 | 484.40 Mn |
| Sep 30, 2023 | 584.30 Mn |
| Jun 30, 2023 | 610.00 Mn |
| Mar 31, 2023 | 618.30 Mn |
| Dec 31, 2022 | 624.00 Mn |
| Sep 30, 2022 | 619.20 Mn |
| Jun 30, 2022 | 606.70 Mn |
| Mar 31, 2022 | 595.90 Mn |
| Dec 31, 2021 | 549.90 Mn |
| Sep 30, 2021 | 502.80 Mn |
API Access
Jbt Marel Total 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-current-liabilities&ticker=JBTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();