Jbt Marel (JBTM) Shares Outstanding (Diluted) (2010 - 2026)
Jbt Marel (JBTM) posted Shares Outstanding (Diluted) of 52.2 million for Q2 2026, unchanged from 52.2 million a year earlier and down 0.4% from the prior quarter.
Jbt Marel (JBTM) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Jbt Marel's Shares Outstanding (Diluted) came in at 52 million, up 61.5% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In prior years, Jbt Marel's Shares Outstanding (Diluted) was 32.2 million in FY2024 (+0.3%), 32.1 million in FY2023 (unchanged), 32.1 million in FY2022 (unchanged) and 32.1 million in FY2021 (unchanged).
- Quarterly Shares Outstanding (Diluted) has run from a low of 32.1 million in Q3 2021 to a high of 52.4 million in Q1 2026 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 31.0%.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.0% in Q3 2021 to 62.4% in Q3 2025.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 52.4 million (Q1 2026), 52 million (Q4 2025) and 52.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 392.75 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 561.10 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 522.40 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Jbt Marel | 5.47 Bn | 4.88 Bn | 359.00 Mn | 52.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.20 Mn |
| Mar 31, 2026 | 52.40 Mn |
| Dec 31, 2025 | 52.00 Mn |
| Sep 30, 2025 | 52.30 Mn |
| Jun 30, 2025 | 52.20 Mn |
| Mar 31, 2025 | 51.70 Mn |
| Dec 31, 2024 | 32.20 Mn |
| Sep 30, 2024 | 32.20 Mn |
| Jun 30, 2024 | 32.20 Mn |
| Mar 31, 2024 | 32.20 Mn |
| Dec 31, 2023 | 32.10 Mn |
| Sep 30, 2023 | 32.20 Mn |
| Jun 30, 2023 | 32.10 Mn |
| Mar 31, 2023 | 32.10 Mn |
| Dec 31, 2022 | 32.10 Mn |
| Sep 30, 2022 | 32.10 Mn |
| Jun 30, 2022 | 32.10 Mn |
| Mar 31, 2022 | 32.10 Mn |
| Dec 31, 2021 | 32.10 Mn |
| Sep 30, 2021 | 32.10 Mn |
Jbt Marel Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=JBTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();