Cemex Sab De Cv (CX) Operating Expenses (2009 - 2026)
Cemex Sab De Cv's Operating Expenses was $976.43 million in Q3 2026, up 11.2% from $878.31 million a year earlier and up 4.2% from the prior quarter.
Cemex Sab De Cv (CX) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cemex Sab De Cv's Operating Expenses was $3.69 billion through Sep 30, 2026, up 6.6% year-over-year; for FY2025, it came in at $3.52 billion, down 1.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $3.59 billion in FY2024 (-0.1%), $3.59 billion in FY2023 (+14.9%), $3.12 billion in FY2022 (+7.1%) and $2.92 billion in FY2021 (+4.5%).
- The Q3 2026 figure marks the highest quarterly Operating Expenses since Q3 2009.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with an average decline of 0.2% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 17.8%); the worst was Q4 2024 (a decline of 12.9%).
- Per Business Quant data, CX's Operating Expenses in the three quarters before Q3 2026 was $937.35 million (Q2 2026), $867 million (Q1 2026) and $905.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 64.80 Bn | 49.33 Bn | 4.42 Bn | 2.37 Bn |
| 2 | Vulcan Materials | 36.96 Bn | 36.33 Bn | 665.60 Mn | 137.00 Mn |
| 3 | Martin Marietta Materials | 34.06 Bn | 33.47 Bn | 651.00 Mn | 217.00 Mn |
| 4 | Amrize | 22.81 Bn | 18.76 Bn | 1.08 Bn | 291.00 Mn |
| 5 | Cemex Sab De Cv | 15.87 Bn | 12.07 Bn | - | - |
| 6 | Eagle Materials | 5.72 Bn | 4.53 Bn | 174.73 Mn | 26.93 Mn |
| 7 | Knife River | 3.28 Bn | 2.80 Bn | 287.60 Mn | 73.47 Mn |
| 8 | Titan America | 2.11 Bn | 2.11 Bn | - | - |
| 9 | Cementos Pacasmayo Saa | 1.10 Bn | 882.37 Mn | - | - |
| 10 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.03 Bn | 1.03 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 976.43 Mn |
| Jun 30, 2026 | 937.35 Mn |
| Mar 31, 2026 | 867.00 Mn |
| Dec 31, 2025 | 905.63 Mn |
| Sep 30, 2025 | 878.31 Mn |
| Jun 30, 2025 | 903.67 Mn |
| Mar 31, 2025 | 834.00 Mn |
| Dec 31, 2024 | 842.74 Mn |
| Sep 30, 2024 | 905.36 Mn |
| Jun 30, 2024 | 942.69 Mn |
| Mar 31, 2024 | 906.00 Mn |
| Dec 31, 2023 | 967.61 Mn |
| Sep 30, 2023 | 932.89 Mn |
| Jun 30, 2023 | 909.03 Mn |
| Mar 31, 2023 | 854.72 Mn |
| Dec 31, 2022 | 847.05 Mn |
| Sep 30, 2022 | 841.90 Mn |
| Jun 30, 2022 | 829.32 Mn |
| Mar 31, 2022 | 743.12 Mn |
| Dec 31, 2021 | 718.80 Mn |
Cemex Sab De Cv 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=CX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CX", "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=CX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();