Jbt Marel (JBTM) Inventory (2010 - 2026)
Jbt Marel (JBTM) reported Inventory of $700 million for Q2 2026, up 5.9% from $661.1 million a year earlier and up 4.9% from the prior quarter.
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Analysis
Jbt Marel (JBTM) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Jbt Marel posted Inventory of $644 million, up 176.3% from FY2024.
- Inventory has a five-year compound annual growth rate of 26.7% (FY2020 to FY2025).
- By year, Inventory came in at $233.1 million in FY2024 (-2.4%), $238.9 million in FY2023 (-9.5%), $264 million in FY2022 (+15.2%) and $229.1 million in FY2021 (+16.1%).
- The Q2 2026 figure ranks as the highest quarterly Inventory in data going back to Q4 2010.
- Year over year, Inventory has now increased in each of the last six quarters, with growth averaging 82.7% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q4 2025 (growth of 176.3%); the low point was Q3 2023 (a decline of 34.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $667 million (Q1 2026), $644 million (Q4 2025) and $669.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn | 3.17 Bn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn | 4.08 Bn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn | 2.51 Bn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn | 1.76 Bn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn | 2.52 Bn |
| 10 | Jbt Marel | 5.69 Bn | 5.10 Bn | 359.00 Mn | 700.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 700.00 Mn |
| Mar 31, 2026 | 667.00 Mn |
| Dec 31, 2025 | 644.00 Mn |
| Sep 30, 2025 | 669.40 Mn |
| Jun 30, 2025 | 661.10 Mn |
| Mar 31, 2025 | 613.50 Mn |
| Dec 31, 2024 | 233.10 Mn |
| Sep 30, 2024 | 259.00 Mn |
| Jun 30, 2024 | 258.70 Mn |
| Mar 31, 2024 | 250.20 Mn |
| Dec 31, 2023 | 238.90 Mn |
| Sep 30, 2023 | 226.70 Mn |
| Jun 30, 2023 | 237.20 Mn |
| Mar 31, 2023 | 351.90 Mn |
| Dec 31, 2022 | 264.00 Mn |
| Sep 30, 2022 | 346.80 Mn |
| Jun 30, 2022 | 298.80 Mn |
| Mar 31, 2022 | 275.60 Mn |
| Dec 31, 2021 | 229.10 Mn |
| Sep 30, 2021 | 217.90 Mn |
API Access
Jbt Marel Inventory 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=inventory&ticker=JBTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();