Mastec (MTZ) Accumulated Expenses (2012 - 2026)
Mastec's Accumulated Expenses came in at $528.03 million for Q2 2026, up 13.8% from $464.08 million a year earlier and up 4.1% from the prior quarter.
Powered by 
Analysis
Mastec (MTZ) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Mastec's Accumulated Expenses was $540.8 million, up 18.8% from FY2024.
- Accumulated Expenses has increased in each of the last six years, with a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $455.04 million in FY2024 (+9.6%), $415.08 million in FY2023 (+13.4%), $365.97 million in FY2022 (+59.2%) and $229.94 million in FY2021 (+22.5%).
- The five-year range for quarterly Accumulated Expenses is $207.72 million (Q1 2022) to $540.8 million (Q4 2025).
- Year-over-year, Accumulated Expenses has increased for 17 consecutive quarters, with growth averaging 16.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2023 (growth of 59.8%), and the weakest in Q1 2022 (a decline of 12.3%).
- Business Quant data shows MTZ's Accumulated Expenses at $507 million (Q1 2026), $540.8 million (Q4 2025) and $498.86 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 528.03 Mn |
| Mar 31, 2026 | 507.00 Mn |
| Dec 31, 2025 | 540.80 Mn |
| Sep 30, 2025 | 498.86 Mn |
| Jun 30, 2025 | 464.08 Mn |
| Mar 31, 2025 | 424.58 Mn |
| Dec 31, 2024 | 455.04 Mn |
| Sep 30, 2024 | 427.46 Mn |
| Jun 30, 2024 | 403.50 Mn |
| Mar 31, 2024 | 398.43 Mn |
| Dec 31, 2023 | 415.08 Mn |
| Sep 30, 2023 | 331.40 Mn |
| Jun 30, 2023 | 351.27 Mn |
| Mar 31, 2023 | 331.25 Mn |
| Dec 31, 2022 | 365.97 Mn |
| Sep 30, 2022 | 226.88 Mn |
| Jun 30, 2022 | 219.83 Mn |
| Mar 31, 2022 | 207.72 Mn |
| Dec 31, 2021 | 229.94 Mn |
| Sep 30, 2021 | 224.82 Mn |
API Access
Mastec Accumulated 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=accumulated-expenses&ticker=MTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();