Sterling Infrastructure (STRL) Operating Margin (2011 - 2026)
Sterling Infrastructure (STRL) recorded Operating Margin of 18.77% in Q2 2026, up 1.75 percentage points from 17.02% a year earlier and up 2.08 percentage points from the prior quarter.
Sterling Infrastructure (STRL) Operating Margin (2011 - 2026) Analysis & Trends
On a TTM basis, Sterling Infrastructure's Operating Margin came in at 17.52% as of Jun 30, 2026, up 3.00 percentage points year-over-year; for FY2025, it came in at 16.30%, up 3.79 percentage points from FY2024.
- Annual Operating Margin has increased for six straight years, with a five-year change of +8.75 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 12.51% in FY2024 (+2.07 pp), 10.43% in FY2023 (+1.40 pp), 9.04% in FY2022 (+1.47 pp) and 7.57% in FY2021 (+0.02 pp).
- The Q2 2026 figure is the highest quarterly Operating Margin in data going back to Q1 2011.
- On a year-over-year basis, Operating Margin has increased for 14 consecutive quarters, with an average year-over-year change of +3.23 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 4.54 percentage points in Q3 2024, against a drop of 5.20 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 16.69% (Q1 2026), 15.88% (Q4 2025) and 18.19% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 7.27% |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 10.62% |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 5.17% |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 18.77% |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 7.03% |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 14.37% |
| 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 | -2.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.77% |
| Mar 31, 2026 | 16.69% |
| Dec 31, 2025 | 15.88% |
| Sep 30, 2025 | 18.19% |
| Jun 30, 2025 | 17.02% |
| Mar 31, 2025 | 13.01% |
| Dec 31, 2024 | 12.48% |
| Sep 30, 2024 | 14.74% |
| Jun 30, 2024 | 12.48% |
| Mar 31, 2024 | 9.57% |
| Dec 31, 2023 | 11.48% |
| Sep 30, 2023 | 10.20% |
| Jun 30, 2023 | 11.54% |
| Mar 31, 2023 | 8.08% |
| Dec 31, 2022 | 8.26% |
| Sep 30, 2022 | 10.03% |
| Jun 30, 2022 | 9.52% |
| Mar 31, 2022 | 8.02% |
| Dec 31, 2021 | 8.57% |
| Sep 30, 2021 | 6.91% |
Sterling Infrastructure Operating Margin 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=operating-margin&ticker=STRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=STRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();