Mastec (MTZ) Change in Accrued Expenses (2009 - 2026)
Mastec's Change in Accrued Expenses was $305.78 million in Q3 2026, up 74.2% from $175.51 million a year earlier and up 113.5% from the prior quarter.
Powered by 
Analysis
Mastec (MTZ) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mastec's Change in Accrued Expenses was $438.79 million through Sep 30, 2026, up 23.5% year-over-year; for FY2025, it came in at $250.53 million.
- Change in Accrued Expenses shows a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- In earlier years, Change in Accrued Expenses was -$161.73 million in FY2024, $165.89 million in FY2023 (-13.7%), $192.12 million in FY2022 and -$104.48 million in FY2021.
- The Q3 2026 figure marks the highest quarterly Change in Accrued Expenses since Q3 2023.
- Compared with a year earlier, Change in Accrued Expenses was higher in two of the last four quarters, with growth averaging 13.0%.
- The best year-over-year quarter for Change in Accrued Expenses over five years was Q3 2022 (growth of 162.2%); the worst was Q1 2022 (a decline of 90.5%).
- Per Business Quant data, MTZ's Change in Accrued Expenses in the three quarters before Q3 2026 was $143.25 million (Q2 2026), $55.27 million (Q1 2026) and -$65.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.31 Bn | 85.69 Bn | 2.01 Bn | 1.05 Bn |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | - |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | - |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | -74.92 Mn |
| 5 | Mastec | 14.14 Bn | 12.67 Bn | 660.86 Mn | 305.78 Mn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | 34.76 Mn |
| 7 | Sterling Infrastructure | 8.80 Bn | 7.22 Bn | 377.28 Mn | - |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | - |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 72.13 Mn |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | 83.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 305.78 Mn |
| Jun 30, 2026 | 143.25 Mn |
| Mar 31, 2026 | 55.27 Mn |
| Dec 31, 2025 | -65.50 Mn |
| Sep 30, 2025 | 175.51 Mn |
| Jun 30, 2025 | 254.74 Mn |
| Mar 31, 2025 | -114.22 Mn |
| Dec 31, 2024 | 39.41 Mn |
| Sep 30, 2024 | 111.74 Mn |
| Jun 30, 2024 | 2.91 Mn |
| Mar 31, 2024 | -315.79 Mn |
| Dec 31, 2023 | 61.14 Mn |
| Sep 30, 2023 | 309.21 Mn |
| Jun 30, 2023 | 8.26 Mn |
| Mar 31, 2023 | -212.71 Mn |
| Dec 31, 2022 | -101.78 Mn |
| Sep 30, 2022 | 194.10 Mn |
| Jun 30, 2022 | 85.26 Mn |
| Mar 31, 2022 | 14.54 Mn |
| Dec 31, 2021 | -238.97 Mn |
API Access
Mastec Change in Accrued 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=change-in-accured-expenses&ticker=MTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();