Sterling Infrastructure (STRL) Tax Provisions (2009 - 2026)
Sterling Infrastructure's Tax Provisions came in at $76.06 million for Q3 2026, up 149.2% from $30.52 million a year earlier and up 48.2% from the prior quarter.
Sterling Infrastructure (STRL) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Sterling Infrastructure reported Tax Provisions of $186.85 million, up 67.8% year-over-year; for FY2025, it was $98.75 million, up 13.0% from FY2024.
- Tax Provisions has increased in each of the last five years, with a five-year compound annual growth rate of 38.5% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $87.36 million in FY2024 (+82.9%), $47.77 million in FY2023 (+14.5%), $41.71 million in FY2022 (+67.7%) and $24.87 million in FY2021 (+28.2%).
- The Q3 2026 figure represents the highest quarterly Tax Provisions in data going back to Q1 2011.
- Year-over-year, Tax Provisions has increased for three consecutive quarters, with growth averaging 89.9% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q4 2024 (growth of 211.2%), and the weakest in Q4 2025 (a decline of 32.8%).
- Business Quant data shows STRL's Tax Provisions at $51.32 million (Q2 2026), $33.67 million (Q1 2026) and $25.79 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 237.66 Mn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 149.63 Mn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 104.64 Mn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 52.44 Mn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | -26.57 Mn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 76.06 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 61.88 Mn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 51.29 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 38.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.06 Mn |
| Jun 30, 2026 | 51.32 Mn |
| Mar 31, 2026 | 33.67 Mn |
| Dec 31, 2025 | 25.79 Mn |
| Sep 30, 2025 | 30.52 Mn |
| Jun 30, 2025 | 27.36 Mn |
| Mar 31, 2025 | 15.08 Mn |
| Dec 31, 2024 | 38.40 Mn |
| Sep 30, 2024 | 23.40 Mn |
| Jun 30, 2024 | 17.95 Mn |
| Mar 31, 2024 | 7.60 Mn |
| Dec 31, 2023 | 12.34 Mn |
| Sep 30, 2023 | 13.89 Mn |
| Jun 30, 2023 | 14.51 Mn |
| Mar 31, 2023 | 7.03 Mn |
| Dec 31, 2022 | 10.74 Mn |
| Sep 30, 2022 | 13.17 Mn |
| Jun 30, 2022 | 11.02 Mn |
| Mar 31, 2022 | 6.78 Mn |
| Dec 31, 2021 | 4.60 Mn |
Sterling Infrastructure Tax Provisions 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=tax-provisions&ticker=STRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=STRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();