Granite Construction (GVA) Return on Sales [ROS] (2009 - 2026)
Granite Construction's Return on Sales [ROS] came in at 12.70% for Q3 2026, up 2.68 percentage points from 10.02% a year earlier and up 3.99 percentage points from the prior quarter.
Granite Construction (GVA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Granite Construction reported Return on Sales [ROS] of 7.45%, up 1.13 percentage points year-over-year; for FY2025, it was 6.38%, up 1.21 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +10.83 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 5.17% in FY2024 (+2.89 pp), 2.28% in FY2023 (-0.30 pp), 2.59% in FY2022 (+1.88 pp) and 0.71% in FY2021 (+5.15 pp).
- The Q3 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q2 2009.
- Year-over-year, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +1.57 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2022 (a gain of 9.47 percentage points), and the weakest in Q1 2023 (a drop of 5.32 percentage points).
- Business Quant data shows GVA's Return on Sales [ROS] at 8.71% (Q2 2026), -3.41% (Q1 2026) and 6.43% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 81.24 Bn | 77.62 Bn | 2.01 Bn | 8.54% |
| 2 | Ferrovial | 42.25 Bn | 20.50 Bn | - | - |
| 3 | Emcor | 26.97 Bn | 23.24 Bn | 1.11 Bn | 9.85% |
| 4 | Jacobs Solutions | 17.52 Bn | 12.19 Bn | 810.70 Mn | 7.03% |
| 5 | Mastec | 13.80 Bn | 12.33 Bn | 660.86 Mn | 5.35% |
| 6 | Aecom | 8.57 Bn | 3.69 Bn | -34.04 Mn | -2.12% |
| 7 | Stantec | 8.47 Bn | 7.40 Bn | 1.36 Bn | 12.58% |
| 8 | Sterling Infrastructure | 7.75 Bn | 6.16 Bn | 377.28 Mn | 19.62% |
| 9 | Fluor | 6.43 Bn | -6.77 Bn | 179.00 Mn | 3.12% |
| 10 | Granite Construction | 5.31 Bn | 2.96 Bn | 335.76 Mn | 12.70% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.70% |
| Jun 30, 2026 | 8.71% |
| Mar 31, 2026 | -3.41% |
| Dec 31, 2025 | 6.43% |
| Sep 30, 2025 | 10.02% |
| Jun 30, 2025 | 9.20% |
| Mar 31, 2025 | -5.68% |
| Dec 31, 2024 | 6.20% |
| Sep 30, 2024 | 8.18% |
| Jun 30, 2024 | 7.93% |
| Mar 31, 2024 | -6.44% |
| Dec 31, 2023 | 2.21% |
| Sep 30, 2023 | 6.61% |
| Jun 30, 2023 | 3.21% |
| Mar 31, 2023 | -7.72% |
| Dec 31, 2022 | 2.11% |
| Sep 30, 2022 | 5.42% |
| Jun 30, 2022 | 3.50% |
| Mar 31, 2022 | -2.40% |
| Dec 31, 2021 | -0.23% |
Granite Construction Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GVA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=GVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();