Jbt Marel (JBTM) Return on Assets [ROA] (2011 - 2026)
Jbt Marel's Return on Assets [ROA] was 2.65% in Q2 2026, up 4.82 percentage points from -2.17% a year earlier and up 0.32 percentage points from the prior quarter.
Jbt Marel (JBTM) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Jbt Marel came in at -0.87%, down 3.66 percentage points from FY2024.
- Return on Assets [ROA] shows a five-year change of -6.72 percentage points (FY2020 to FY2025).
- In earlier years, Return on Assets [ROA] was 2.79% in FY2024 (-18.98 pp), 21.77% in FY2023 (+16.03 pp), 5.75% in FY2022 (-0.29 pp) and 6.03% in FY2021 (+0.19 pp).
- The Q2 2026 figure marks the highest quarterly Return on Assets [ROA] since Q4 2024.
- Compared with a year earlier, Return on Assets [ROA] was higher in two of the last eight quarters, with an average year-over-year change of -10.36 percentage points.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q4 2023 (a gain of 16.29 percentage points); the worst was Q1 2025 (a drop of 24.15 percentage points).
- Per Business Quant data, JBTM's Return on Assets [ROA] in the three quarters before Q2 2026 was 2.32% (Q1 2026), -1.08% (Q4 2025) and -1.81% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 10.94% |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 11.93% |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 4.54% |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 6.89% |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 11.86% |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | 9.76% |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | 6.12% |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 19.50% |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 11.82% |
| 10 | Jbt Marel | 5.68 Bn | 5.09 Bn | 359.00 Mn | 2.65% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.65% |
| Mar 31, 2026 | 2.32% |
| Dec 31, 2025 | -1.08% |
| Sep 30, 2025 | -1.81% |
| Jun 30, 2025 | -2.17% |
| Mar 31, 2025 | -2.74% |
| Dec 31, 2024 | 2.75% |
| Sep 30, 2024 | 6.33% |
| Jun 30, 2024 | 21.42% |
| Mar 31, 2024 | 21.41% |
| Dec 31, 2023 | 21.58% |
| Sep 30, 2023 | 20.56% |
| Jun 30, 2023 | 5.31% |
| Mar 31, 2023 | 5.32% |
| Dec 31, 2022 | 5.29% |
| Sep 30, 2022 | 4.28% |
| Jun 30, 2022 | 4.29% |
| Mar 31, 2022 | 4.19% |
| Dec 31, 2021 | 4.43% |
| Sep 30, 2021 | 5.82% |
Jbt Marel Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=JBTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();