Mastec (MTZ) Amortizatization of Intangibles (2019 - 2026)
Mastec (MTZ) posted Amortizatization of Intangibles of $37.52 million for Q2 2026, up 14.7% from $32.7 million a year earlier but down 2.8% from the prior quarter.
Mastec (MTZ) Amortizatization of Intangibles (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Mastec was $142.01 million, up 3.0% year-over-year; for FY2025, it came in at $131.2 million, down 6.2% from FY2024.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- In prior years, Mastec's Amortizatization of Intangibles was $139.9 million in FY2024 (-17.3%), $169.23 million in FY2023 (+24.5%), $135.91 million in FY2022 (+76.0%) and $77.21 million in FY2021 (+98.4%).
- Quarterly Amortizatization of Intangibles has run from a low of $22.69 million in Q4 2021 to a high of $54.67 million in Q4 2022 over five years.
- On a year-over-year basis, Amortizatization of Intangibles increased in two of the last eight quarters, with an average decline of 2.6%.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q4 2022, with growth of 140.9%; the weakest was Q4 2023, with a decline of 21.5%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $38.61 million (Q1 2026), $33.16 million (Q4 2025) and $32.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 156.96 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 34.87 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 37.52 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 | 33.45 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.52 Mn |
| Mar 31, 2026 | 38.61 Mn |
| Dec 31, 2025 | 33.16 Mn |
| Sep 30, 2025 | 32.72 Mn |
| Jun 30, 2025 | 32.70 Mn |
| Mar 31, 2025 | 32.64 Mn |
| Dec 31, 2024 | 38.20 Mn |
| Sep 30, 2024 | 34.40 Mn |
| Jun 30, 2024 | 33.61 Mn |
| Mar 31, 2024 | 33.70 Mn |
| Dec 31, 2023 | 42.93 Mn |
| Sep 30, 2023 | 42.30 Mn |
| Jun 30, 2023 | 42.04 Mn |
| Mar 31, 2023 | 41.94 Mn |
| Dec 31, 2022 | 54.67 Mn |
| Sep 30, 2022 | 28.00 Mn |
| Jun 30, 2022 | 27.70 Mn |
| Mar 31, 2022 | 25.60 Mn |
| Dec 31, 2021 | 22.69 Mn |
| Sep 30, 2021 | 23.40 Mn |
Mastec Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=MTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=MTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();