Mastec (MTZ) Operating Expenses (2010 - 2026)
Mastec's Operating Expenses came in at $292.57 million for Q2 2026, up 19.5% from $244.75 million a year earlier but down 1.7% from the prior quarter.
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Analysis
Mastec (MTZ) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mastec reported Operating Expenses of $1.11 billion, up 11.4% year-over-year; for FY2025, it came in at $1.01 billion, down 4.0% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.05 billion in FY2024 (-7.2%), $1.13 billion in FY2023 (+21.7%), $930.68 million in FY2022 (+42.6%) and $652.58 million in FY2021 (+16.2%).
- The five-year range for quarterly Operating Expenses is $151.46 million (Q4 2021) to $297.51 million (Q1 2026).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2022 (growth of 73.6%), and the weakest in Q3 2024 (a decline of 15.8%).
- Business Quant data shows MTZ's Operating Expenses at $297.51 million (Q1 2026), $267.04 million (Q4 2025) and $252.89 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 292.57 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 65.66 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 524.00 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 972.05 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 46.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.57 Mn |
| Mar 31, 2026 | 297.51 Mn |
| Dec 31, 2025 | 267.04 Mn |
| Sep 30, 2025 | 252.89 Mn |
| Jun 30, 2025 | 244.75 Mn |
| Mar 31, 2025 | 242.28 Mn |
| Dec 31, 2024 | 260.02 Mn |
| Sep 30, 2024 | 249.07 Mn |
| Jun 30, 2024 | 269.22 Mn |
| Mar 31, 2024 | 272.97 Mn |
| Dec 31, 2023 | 286.80 Mn |
| Sep 30, 2023 | 295.67 Mn |
| Jun 30, 2023 | 279.19 Mn |
| Mar 31, 2023 | 271.16 Mn |
| Dec 31, 2022 | 262.93 Mn |
| Sep 30, 2022 | 216.37 Mn |
| Jun 30, 2022 | 220.79 Mn |
| Mar 31, 2022 | 230.59 Mn |
| Dec 31, 2021 | 151.46 Mn |
| Sep 30, 2021 | 182.30 Mn |
API Access
Mastec 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=MTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MTZ", "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=MTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();