Terex (TEX) Operating Expenses (2009 - 2026)
Terex's Operating Expenses was $209 million in Q2 2026, up 29.0% from $162 million a year earlier but down 13.3% from the prior quarter.
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Analysis
Terex (TEX) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Terex's Operating Expenses was $703 million through Jun 30, 2026, up 19.2% year-over-year; for FY2025, it was $576 million, up 6.3% from FY2024.
- Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $542 million in FY2024 (+0.4%), $540 million in FY2023 (+19.7%), $451 million in FY2022 (+5.0%) and $429.4 million in FY2021 (-8.8%).
- Quarterly Operating Expenses has moved between $102.1 million (Q4 2021) and $241 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 12.4%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2026 (growth of 49.7%); the worst was Q4 2025 (a decline of 22.9%).
- Per Business Quant data, TEX's Operating Expenses in the three quarters before Q2 2026 was $241 million (Q1 2026), $111 million (Q4 2025) and $142 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | - |
| 10 | Terex | 5.76 Bn | 3.68 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 Operating Expenses 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=operating-expenses&ticker=TEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();