Mastec (MTZ) Capital Expenditures (2009 - 2026)
Mastec's Capital Expenditures was $87.35 million in Q3 2026, up 27.1% from $68.7 million a year earlier but down 4.6% from the prior quarter.
Mastec (MTZ) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mastec's Capital Expenditures was $355.89 million through Sep 30, 2026, up 56.0% year-over-year; for FY2025, it was $260 million, up 74.6% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $148.9 million in FY2024 (-22.8%), $192.94 million in FY2023 (-26.7%), $263.4 million in FY2022 (+54.9%) and $170.1 million in FY2021 (-20.4%).
- Quarterly Capital Expenditures has moved between $23.46 million (Q3 2022) and $106.68 million (Q2 2022) over five years.
- Compared with a year earlier, Capital Expenditures has increased for nine straight quarters, with growth averaging 65.4% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2022 (growth of 117.8%); the worst was Q1 2024 (a decline of 59.9%).
- Per Business Quant data, MTZ's Capital Expenditures in the three quarters before Q3 2026 was $91.51 million (Q2 2026), $96.8 million (Q1 2026) and $80.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.31 Bn | 85.69 Bn | 2.01 Bn | 267.96 Mn |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | - |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | 37.15 Mn |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | 25.13 Mn |
| 5 | Mastec | 14.14 Bn | 12.67 Bn | 660.86 Mn | 87.35 Mn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | 40.35 Mn |
| 7 | Sterling Infrastructure | 8.80 Bn | 7.22 Bn | 377.28 Mn | 45.81 Mn |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | -43.72 Mn |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 44.64 Mn |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | 69.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 87.35 Mn |
| Jun 30, 2026 | 91.51 Mn |
| Mar 31, 2026 | 96.80 Mn |
| Dec 31, 2025 | 80.24 Mn |
| Sep 30, 2025 | 68.70 Mn |
| Jun 30, 2025 | 63.80 Mn |
| Mar 31, 2025 | 47.30 Mn |
| Dec 31, 2024 | 48.36 Mn |
| Sep 30, 2024 | 43.60 Mn |
| Jun 30, 2024 | 31.50 Mn |
| Mar 31, 2024 | 25.41 Mn |
| Dec 31, 2023 | 35.57 Mn |
| Sep 30, 2023 | 38.30 Mn |
| Jun 30, 2023 | 55.72 Mn |
| Mar 31, 2023 | 63.35 Mn |
| Dec 31, 2022 | 50.08 Mn |
| Sep 30, 2022 | 23.46 Mn |
| Jun 30, 2022 | 106.68 Mn |
| Mar 31, 2022 | 83.19 Mn |
| Dec 31, 2021 | 37.75 Mn |
Mastec Capital Expenditures 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=capital-expenditures&ticker=MTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();