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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn | 343.89 Mn |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn | 351.08 Mn |
| 6 | Sterling Infrastructure | 10.94 Bn | 9.27 Bn | 289.96 Mn | 244.44 Mn |
| 7 | IES Holdings | 8.50 Bn | 7.36 Bn | 340.66 Mn | 195.65 Mn |
| 8 | Stantec | 8.11 Bn | 7.03 Bn | 1.36 Bn | 458.26 Mn |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn | -20.06 Mn |
| 10 | Dycom Industries | 6.52 Bn | 5.65 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 351.08 Mn |
| Mar 31, 2026 | 264.10 Mn |
| Dec 31, 2025 | 354.24 Mn |
| Sep 30, 2025 | 390.60 Mn |
| Jun 30, 2025 | 262.08 Mn |
| Mar 31, 2025 | 146.25 Mn |
| Dec 31, 2024 | 293.12 Mn |
| Sep 30, 2024 | 329.90 Mn |
| Jun 30, 2024 | 288.79 Mn |
| Mar 31, 2024 | 176.60 Mn |
| Dec 31, 2023 | 237.96 Mn |
| Sep 30, 2023 | 263.13 Mn |
| Jun 30, 2023 | 256.72 Mn |
| Mar 31, 2023 | 104.60 Mn |
| Dec 31, 2022 | 294.30 Mn |
| Sep 30, 2022 | 229.46 Mn |
| Jun 30, 2022 | 168.46 Mn |
| Mar 31, 2022 | 102.15 Mn |
| Dec 31, 2021 | 205.65 Mn |
| Sep 30, 2021 | 284.27 Mn |
API Access
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_KEYimport 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();