Terex (TEX) Divestments (2010 - 2020)
Terex's Divestments came in at $109 million for FY2025.
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Analysis
Terex (TEX) Divestments (2010 - 2020) Analysis & Trends
Going back to FY2010, Terex's Divestments data covers 12 years.
- Divestments carries a five-year compound annual growth rate of 47.1% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Divestments since FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | -92.00 Mn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | - |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 15.00 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | - |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | - |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | - |
| 10 | Terex | 5.76 Bn | 3.68 Bn | 444.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 4.40 Mn |
| Sep 30, 2020 | 5.10 Mn |
| Jun 30, 2020 | 1.80 Mn |
| Mar 31, 2020 | 4.50 Mn |
| Dec 31, 2019 | 5.30 Mn |
| Sep 30, 2019 | 170.20 Mn |
| Jun 30, 2019 | 2.20 Mn |
| Dec 31, 2018 | -500,000.00 |
| Sep 30, 2018 | 3.00 Mn |
| Dec 31, 2017 | 2.00 Mn |
| Sep 30, 2017 | 5.70 Mn |
| Jun 30, 2017 | 3.70 Mn |
| Mar 31, 2017 | 764.30 Mn |
| Dec 31, 2016 | -60.00 Mn |
| Sep 30, 2016 | 60.00 Mn |
| Jun 30, 2016 | 3.50 Mn |
| Sep 30, 2015 | -900,000.00 |
| Jun 30, 2011 | 500,000.00 |
| Mar 31, 2010 | 1.00 Bn |
API Access
Terex Divestments 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=divestments&ticker=TEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();