Mastec (MTZ) EBITDA (2009 - 2026)
Mastec (MTZ) reported EBITDA of $445.67 million for Q3 2026, up 25.4% from $355.35 million a year earlier and up 26.9% from the prior quarter.
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Analysis
Mastec (MTZ) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Mastec's EBITDA came in at $1.42 billion, up 34.0% year-over-year; for FY2025, it came in at $1.22 billion, up 11.8% 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 $1.09 billion in FY2024 (+26.2%), $862.41 million in FY2023 (+8.6%), $794.31 million in FY2022 (-13.6%) and $919.51 million in FY2021 (+16.5%).
- The Q3 2026 figure ranks as the highest quarterly EBITDA in data going back to Q2 2010.
- Year over year, EBITDA has now increased in each of the last five quarters, with growth averaging 20.7% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q1 2026 (growth of 80.6%); the low point was Q1 2022 (a decline of 49.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $351.08 million (Q2 2026), $264.1 million (Q1 2026) and $354.81 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.45 Bn | 85.83 Bn | 2.01 Bn | 1.34 Bn |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | - |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | 603.08 Mn |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | 342.86 Mn |
| 5 | Mastec | 14.15 Bn | 12.69 Bn | 660.86 Mn | 445.67 Mn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | -20.06 Mn |
| 7 | Sterling Infrastructure | 8.84 Bn | 7.26 Bn | 377.28 Mn | 334.96 Mn |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | 701.84 Mn |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 195.65 Mn |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | -1.26 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 445.67 Mn |
| Jun 30, 2026 | 351.08 Mn |
| Mar 31, 2026 | 264.10 Mn |
| Dec 31, 2025 | 354.81 Mn |
| Sep 30, 2025 | 355.35 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 |
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();