Sterling Infrastructure (STRL) Depreciation and Depletion (2019 - 2026)
Sterling Infrastructure (STRL) posted Depreciation and Depletion of $17.5 million for Q2 2026, up 33.6% from $13.1 million a year earlier and up 9.8% from the prior quarter.
Sterling Infrastructure (STRL) Depreciation and Depletion (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Sterling Infrastructure was $62.79 million, up 19.9% year-over-year; for FY2025, it came in at $54.93 million, up 6.9% from FY2024.
- Annual Depreciation and Depletion has increased for seven consecutive years, with a five-year compound annual growth rate of 22.7% (FY2020 to FY2025).
- In prior years, Sterling Infrastructure's Depreciation and Depletion was $51.37 million in FY2024 (+21.8%), $42.18 million in FY2023 (+15.6%), $36.48 million in FY2022 (+73.4%) and $21.04 million in FY2021 (+6.6%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion in data going back to Q1 2019.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last 21 quarters, with growth averaging 16.5% over the last eight quarters.
- The year-over-year growth in Depreciation and Depletion has ranged between 3.6% (Q2 2025) and 126.6% (Q4 2022) over the last five years.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $15.94 million (Q1 2026), $15.47 million (Q4 2025) and $13.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 117.14 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 19.39 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 86.10 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 17.50 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 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 | 17.50 Mn |
| Mar 31, 2026 | 15.94 Mn |
| Dec 31, 2025 | 15.47 Mn |
| Sep 30, 2025 | 13.88 Mn |
| Jun 30, 2025 | 13.10 Mn |
| Mar 31, 2025 | 12.50 Mn |
| Dec 31, 2024 | 13.68 Mn |
| Sep 30, 2024 | 13.08 Mn |
| Jun 30, 2024 | 12.65 Mn |
| Mar 31, 2024 | 11.96 Mn |
| Dec 31, 2023 | 10.86 Mn |
| Sep 30, 2023 | 11.12 Mn |
| Jun 30, 2023 | 10.24 Mn |
| Mar 31, 2023 | 9.96 Mn |
| Dec 31, 2022 | 9.74 Mn |
| Sep 30, 2022 | 9.22 Mn |
| Jun 30, 2022 | 9.72 Mn |
| Mar 31, 2022 | 7.80 Mn |
| Dec 31, 2021 | 4.30 Mn |
| Sep 30, 2021 | 5.76 Mn |
Sterling Infrastructure Depreciation and Depletion 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=depreciation-and-depletion&ticker=STRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=STRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();