Jbt Marel (JBTM) Price to Earnings (2011 - 2026)
Jbt Marel's Price to Earnings was 39.16 in Q2 2026, down 1.7% from the prior quarter.
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Analysis
Jbt Marel (JBTM) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2024, Price to Earnings at Jbt Marel came in at 47.39, up 773.4% from FY2023.
- In earlier years, Price to Earnings was 5.43 in FY2023 (-74.3%), 21.14 in FY2022 (-48.4%), 40.96 in FY2021 (+23.3%) and 33.21 in FY2020 (+20.1%).
- The Q2 2026 figure marks the lowest quarterly Price to Earnings since Q3 2024.
- The best year-over-year quarter for Price to Earnings over five years was Q4 2024 (growth of 773.4%); the worst was Q2 2024 (a decline of 81.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 316.37 Bn | 288.06 Bn | 7.76 Bn |
| 2 | Amphenol | 182.54 Bn | 177.12 Bn | 3.55 Bn |
| 3 | Deere | 174.00 Bn | 142.10 Bn | 4.66 Bn |
| 4 | Eaton | 143.29 Bn | 140.47 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 111.15 Bn | 109.27 Bn | 2.25 Bn |
| 6 | Emerson Electric | 90.75 Bn | 83.49 Bn | 2.66 Bn |
| 7 | 3M | 90.56 Bn | 72.00 Bn | 2.78 Bn |
| 8 | Illinois Tool Works | 79.29 Bn | 75.85 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.18 Bn | 65.80 Bn | 1.23 Bn |
| 10 | Jbt Marel | 5.63 Bn | 5.05 Bn | 359.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.16 |
| Mar 31, 2026 | 39.84 |
| Dec 31, 2024 | 47.39 |
| Sep 30, 2024 | 18.08 |
| Jun 30, 2024 | 5.25 |
| Mar 31, 2024 | 5.77 |
| Dec 31, 2023 | 5.43 |
| Sep 30, 2023 | 6.17 |
| Jun 30, 2023 | 28.15 |
| Mar 31, 2023 | 25.04 |
| Dec 31, 2022 | 21.14 |
| Sep 30, 2022 | 21.29 |
| Jun 30, 2022 | 28.91 |
| Mar 31, 2022 | 31.97 |
| Dec 31, 2021 | 40.96 |
| Sep 30, 2021 | 38.20 |
| Jun 30, 2021 | 43.23 |
| Mar 31, 2021 | 39.62 |
| Dec 31, 2020 | 33.21 |
| Sep 30, 2020 | 24.14 |
API Access
Jbt Marel Price to Earnings 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=price-to-earnings&ticker=JBTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();