Sterling Infrastructure (STRL) Other Accumulated Expenses (2009 - 2026)
Sterling Infrastructure (STRL) posted Other Accumulated Expenses of $163.88 million for Q3 2026, up 203.3% from $54.03 million a year earlier and up 131.7% from the prior quarter.
Sterling Infrastructure (STRL) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Sterling Infrastructure's Other Accumulated Expenses came in at $46.81 million, up 146.4% from FY2024.
- Annual Other Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 37.2% (FY2020 to FY2025).
- In prior years, Sterling Infrastructure's Other Accumulated Expenses was $19 million in FY2024 (+34.5%), $14.12 million in FY2023 (+57.5%), $8.97 million in FY2022 (-50.4%) and $18.08 million in FY2021 (+87.8%).
- The Q3 2026 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2011.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last five quarters, with growth averaging 135.5% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q2 2026, with growth of 411.0%; the weakest was Q4 2022, with a decline of 50.4%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $70.73 million (Q2 2026), $71.1 million (Q1 2026) and $46.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 89.31 Bn | 85.69 Bn | 2.01 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 |
| 5 | Mastec | 14.14 Bn | 12.67 Bn | 660.86 Mn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 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 |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 163.88 Mn |
| Jun 30, 2026 | 70.73 Mn |
| Mar 31, 2026 | 71.10 Mn |
| Dec 31, 2025 | 46.81 Mn |
| Sep 30, 2025 | 54.03 Mn |
| Jun 30, 2025 | 13.84 Mn |
| Mar 31, 2025 | 22.83 Mn |
| Dec 31, 2024 | 19.00 Mn |
| Sep 30, 2024 | 26.15 Mn |
| Jun 30, 2024 | 24.85 Mn |
| Mar 31, 2024 | 19.80 Mn |
| Dec 31, 2023 | 14.12 Mn |
| Sep 30, 2023 | 14.36 Mn |
| Jun 30, 2023 | 12.74 Mn |
| Mar 31, 2023 | 13.57 Mn |
| Dec 31, 2022 | 8.97 Mn |
| Sep 30, 2022 | 10.10 Mn |
| Jun 30, 2022 | 9.02 Mn |
| Mar 31, 2022 | 13.63 Mn |
| Dec 31, 2021 | 18.08 Mn |
Sterling Infrastructure Other 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=other-accumulated-expenses&ticker=STRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=STRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();