Mastec (MTZ) EBITDA (2010 - 2026)
Mastec (MTZ) reported EBITDA of $349.82 million for Q2 2026, up 34.2% from $260.74 million a year earlier and up 32.7% from the prior quarter.
Mastec (MTZ) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mastec's EBITDA came in at $1.36 billion, up 32.2% year-over-year; for FY2025, it came in at $1.21 billion, up 11.9% from FY2024.
- EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- By year, EBITDA came in at $1.08 billion in FY2024 (+26.4%), $856.57 million in FY2023 (+8.4%), $790.14 million in FY2022 (-13.8%) and $916.31 million in FY2021 (+16.6%).
- Five-year quarterly EBITDA spans a low of $101.29 million in Q1 2022 and a high of $389.42 million in Q3 2025.
- Year over year, EBITDA has now increased in each of the last four quarters, with growth averaging 22.3% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q1 2026 (growth of 81.8%); the low point was Q1 2022 (a decline of 49.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $263.72 million (Q1 2026), $353.2 million (Q4 2025) and $389.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 349.82 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 244.24 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 343.89 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 195.50 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 355.32 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | -20.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 349.82 Mn |
| Mar 31, 2026 | 263.72 Mn |
| Dec 31, 2025 | 353.20 Mn |
| Sep 30, 2025 | 389.42 Mn |
| Jun 30, 2025 | 260.74 Mn |
| Mar 31, 2025 | 145.05 Mn |
| Dec 31, 2024 | 291.69 Mn |
| Sep 30, 2024 | 328.68 Mn |
| Jun 30, 2024 | 287.17 Mn |
| Mar 31, 2024 | 175.34 Mn |
| Dec 31, 2023 | 236.47 Mn |
| Sep 30, 2023 | 261.64 Mn |
| Jun 30, 2023 | 255.22 Mn |
| Mar 31, 2023 | 103.24 Mn |
| Dec 31, 2022 | 292.70 Mn |
| Sep 30, 2022 | 228.60 Mn |
| Jun 30, 2022 | 167.60 Mn |
| Mar 31, 2022 | 101.29 Mn |
| Dec 31, 2021 | 204.80 Mn |
| Sep 30, 2021 | 283.49 Mn |
Mastec EBITDA 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=ebitda&ticker=MTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();