Jbt Marel (JBTM) Selling, General & Administrative (2010 - 2026)
Jbt Marel's Selling, General & Administrative was $313 million in Q2 2026, up 9.1% from $287 million a year earlier and up 19.9% from the prior quarter.
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Analysis
Jbt Marel (JBTM) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jbt Marel's Selling, General & Administrative was $1.08 billion through Jun 30, 2026, up 29.9% year-over-year; for FY2023, it came in at $409.6 million, up 5.1% from FY2022.
- Selling, General & Administrative shows a five-year compound annual growth rate of 3.4% (FY2018 to FY2023).
- In earlier years, Selling, General & Administrative was $389.7 million in FY2022 (+10.9%), $351.4 million in FY2021 (-2.0%), $358.5 million in FY2020 (-9.6%) and $396.4 million in FY2019 (+14.3%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q1 2025.
- Compared with a year earlier, Selling, General & Administrative was higher in five of the last six quarters, with growth averaging 78.6%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2025 (growth of 213.4%); the worst was Q4 2021 (a decline of 38.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | - |
| 10 | Jbt Marel | 5.54 Bn | 4.95 Bn | 359.00 Mn | 313.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 313.00 Mn |
| Mar 31, 2026 | 261.00 Mn |
| Sep 30, 2025 | 222.00 Mn |
| Jun 30, 2025 | 287.00 Mn |
| Mar 31, 2025 | 325.00 Mn |
| Sep 30, 2024 | 111.60 Mn |
| Jun 30, 2024 | 110.40 Mn |
| Mar 31, 2024 | 103.70 Mn |
| Dec 31, 2023 | 104.00 Mn |
| Sep 30, 2023 | 101.50 Mn |
| Jun 30, 2023 | 100.40 Mn |
| Mar 31, 2023 | 103.70 Mn |
| Dec 31, 2022 | 98.40 Mn |
| Sep 30, 2022 | 99.20 Mn |
| Jun 30, 2022 | 95.90 Mn |
| Mar 31, 2022 | 108.40 Mn |
| Dec 31, 2021 | 54.50 Mn |
| Sep 30, 2021 | 100.90 Mn |
| Jun 30, 2021 | 101.60 Mn |
| Mar 31, 2021 | 94.40 Mn |
API Access
Jbt Marel Selling, General & Administrative 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=selling-general-and-administrative&ticker=JBTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();