Terex (TEX) Selling, General & Administrative (2009 - 2026)
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Analysis
Terex (TEX) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | 1.22 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 494.40 Mn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 1.06 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | 1.34 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | - |
| 10 | Terex | 6.72 Bn | 6.31 Bn | 444.00 Mn | 209.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 209.00 Mn |
| Mar 31, 2026 | 241.00 Mn |
| Dec 31, 2025 | 111.00 Mn |
| Sep 30, 2025 | 142.00 Mn |
| Jun 30, 2025 | 162.00 Mn |
| Mar 31, 2025 | 161.00 Mn |
| Dec 31, 2024 | 144.00 Mn |
| Sep 30, 2024 | 123.00 Mn |
| Jun 30, 2024 | 136.00 Mn |
| Mar 31, 2024 | 139.00 Mn |
| Dec 31, 2023 | 147.00 Mn |
| Sep 30, 2023 | 129.00 Mn |
| Jun 30, 2023 | 133.00 Mn |
| Mar 31, 2023 | 131.00 Mn |
| Dec 31, 2022 | 114.40 Mn |
| Sep 30, 2022 | 116.30 Mn |
| Jun 30, 2022 | 109.00 Mn |
| Mar 31, 2022 | 111.30 Mn |
| Dec 31, 2021 | 102.10 Mn |
| Sep 30, 2021 | 104.30 Mn |
API Access
Terex 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=TEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "TEX", "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=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();