Sterling Infrastructure (STRL) Amortization - Intangibles (2019 - 2026)
Sterling Infrastructure (STRL) posted Amortization - Intangibles of $7.5 million for Q2 2026, up 65.3% from $4.54 million a year earlier and up 5.6% from the prior quarter.
Sterling Infrastructure (STRL) Amortization - Intangibles (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Sterling Infrastructure was $27.75 million, up 58.6% year-over-year; for FY2025, it was $22.19 million, up 30.2% from FY2024.
- Annual Amortization - Intangibles has increased for eight consecutive years, with a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- In prior years, Sterling Infrastructure's Amortization - Intangibles was $17.04 million in FY2024 (+11.9%), $15.23 million in FY2023 (+8.0%), $14.1 million in FY2022 (+23.0%) and $11.46 million in FY2021 (+0.2%).
- The Q2 2026 figure stands as the highest quarterly Amortization - Intangibles in data going back to Q1 2019.
- On a year-over-year basis, Amortization - Intangibles has increased in each of the last 18 quarters, with growth averaging 33.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Amortization - Intangibles ran from 0.0% in Q4 2021 to 70.2% in Q4 2025.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $7.1 million (Q1 2026), $7.11 million (Q4 2025) and $6.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 10.94 Bn | 9.27 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.50 Bn | 7.36 Bn | 340.66 Mn |
| 8 | Stantec | 8.11 Bn | 7.03 Bn | 1.36 Bn |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn |
| 10 | Dycom Industries | 6.52 Bn | 5.65 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.50 Mn |
| Mar 31, 2026 | 7.10 Mn |
| Dec 31, 2025 | 7.11 Mn |
| Sep 30, 2025 | 6.04 Mn |
| Jun 30, 2025 | 4.54 Mn |
| Mar 31, 2025 | 4.50 Mn |
| Dec 31, 2024 | 4.18 Mn |
| Sep 30, 2024 | 4.28 Mn |
| Jun 30, 2024 | 4.28 Mn |
| Mar 31, 2024 | 4.30 Mn |
| Dec 31, 2023 | 4.02 Mn |
| Sep 30, 2023 | 3.74 Mn |
| Jun 30, 2023 | 3.74 Mn |
| Mar 31, 2023 | 3.74 Mn |
| Dec 31, 2022 | 3.51 Mn |
| Sep 30, 2022 | 3.51 Mn |
| Jun 30, 2022 | 3.51 Mn |
| Mar 31, 2022 | 3.57 Mn |
| Dec 31, 2021 | 2.87 Mn |
| Sep 30, 2021 | 2.87 Mn |
Sterling Infrastructure Amortization - 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=amortization-intangibles&ticker=STRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "STRL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=STRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();