Jbt Marel (JBTM) Revenue (2010 - 2026)
Jbt Marel's Revenue came in at $981 million for Q2 2026, up 4.9% from $935 million a year earlier and up 4.8% from the prior quarter.
Powered by 
Analysis
Jbt Marel (JBTM) Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jbt Marel reported Revenue of $3.93 billion, up 44.9% year-over-year; for FY2025, it was $3.8 billion, up 121.3% from FY2024.
- Revenue has increased in each of the last four years, with a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- Going back by year, Revenue was $1.72 billion in FY2024 (+3.1%), $1.66 billion in FY2023 (+4.7%), $1.59 billion in FY2022 (+13.5%) and $1.4 billion in FY2021 (-18.9%).
- The five-year range for quarterly Revenue is $30.1 million (Q4 2021) to $1.01 billion (Q4 2025).
- Year-over-year, Revenue has increased for seven consecutive quarters, with growth averaging 62.0% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q2 2025 (growth of 122.1%), and the weakest in Q4 2021 (a decline of 93.1%).
- Business Quant data shows JBTM's Revenue at $936 million (Q1 2026), $1.01 billion (Q4 2025) and $1 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Jbt Marel | 5.72 Bn | 5.13 Bn | 359.00 Mn | 981.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 981.00 Mn |
| Mar 31, 2026 | 936.00 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 1.00 Bn |
| Jun 30, 2025 | 935.00 Mn |
| Mar 31, 2025 | 854.00 Mn |
| Dec 31, 2024 | 467.60 Mn |
| Sep 30, 2024 | 453.80 Mn |
| Jun 30, 2024 | 421.00 Mn |
| Mar 31, 2024 | 392.30 Mn |
| Dec 31, 2023 | 444.60 Mn |
| Sep 30, 2023 | 453.80 Mn |
| Jun 30, 2023 | 402.30 Mn |
| Mar 31, 2023 | 388.50 Mn |
| Dec 31, 2022 | 441.20 Mn |
| Sep 30, 2022 | 398.80 Mn |
| Jun 30, 2022 | 394.00 Mn |
| Mar 31, 2022 | 356.30 Mn |
| Dec 31, 2021 | 30.10 Mn |
| Sep 30, 2021 | 477.40 Mn |
API Access
Jbt Marel Revenue 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=revenue&ticker=JBTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();