Mastec (MTZ) Accumulated Expenses (2009 - 2026)
Mastec's Accumulated Expenses came in at $556.1 million for Q3 2026, up 11.5% from $498.86 million a year earlier and up 5.3% from the prior quarter.
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Analysis
Mastec (MTZ) Accumulated Expenses (2009 - 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 Q3 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2012.
- Year-over-year, Accumulated Expenses has increased for 18 consecutive quarters, with growth averaging 13.9% 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 $528.03 million (Q2 2026), $507 million (Q1 2026) and $540.8 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 90.69 Bn | 87.15 Bn | 2.01 Bn |
| 2 | Ferrovial | 44.45 Bn | 25.05 Bn | - |
| 3 | Emcor | 28.99 Bn | 25.27 Bn | 1.11 Bn |
| 4 | Jacobs Solutions | 18.53 Bn | 13.18 Bn | 810.70 Mn |
| 5 | Mastec | 14.68 Bn | 13.36 Bn | 660.86 Mn |
| 6 | Stantec | 9.77 Bn | 8.64 Bn | 2.08 Bn |
| 7 | Aecom | 9.07 Bn | 4.40 Bn | -34.04 Mn |
| 8 | Sterling Infrastructure | 8.95 Bn | 7.41 Bn | 377.28 Mn |
| 9 | IES Holdings | 6.79 Bn | 5.65 Bn | 340.66 Mn |
| 10 | Dycom Industries | 6.68 Bn | 4.98 Bn | 440.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 556.10 Mn |
| 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 |
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();