Sunrun (RUN) Return on Sales [ROS] (2014 - 2026)
Sunrun's Return on Sales [ROS] came in at 4.00% for Q2 2026, up 23.71 percentage points from -19.72% a year earlier and up 10.02 percentage points from the prior quarter.
Sunrun (RUN) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sunrun reported Return on Sales [ROS] of 2.66%, up 172.25 percentage points year-over-year; for FY2025, it was -4.27%, up 177.07 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +46.17 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -181.34% in FY2024 (-93.78 pp), -87.56% in FY2023 (-59.03 pp), -28.53% in FY2022 (+12.85 pp) and -41.38% in FY2021 (+9.06 pp).
- The five-year range for quarterly Return on Sales [ROS] is -628.02% (Q4 2024) to 8.40% (Q4 2025).
- Year-over-year, Return on Sales [ROS] has increased for six consecutive quarters, with an average year-over-year change of +43.60 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2025 (a gain of 636.43 percentage points), and the weakest in Q4 2024 (a drop of 589.79 percentage points).
- Business Quant data shows RUN's Return on Sales [ROS] at -6.02% (Q1 2026), 8.40% (Q4 2025) and 0.50% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 99.60 Bn | 97.78 Bn | 1.55 Bn | 7.27% |
| 2 | Ferrovial | 38.15 Bn | 18.74 Bn | - | - |
| 3 | Emcor | 34.02 Bn | 30.41 Bn | 1.02 Bn | 10.62% |
| 4 | Mastec | 17.16 Bn | 16.07 Bn | 556.28 Mn | 5.17% |
| 5 | Jacobs Solutions | 16.37 Bn | 11.02 Bn | 810.70 Mn | 7.03% |
| 6 | Sterling Infrastructure | 15.50 Bn | 13.86 Bn | 289.96 Mn | 18.77% |
| 7 | IES Holdings | 13.16 Bn | 12.02 Bn | 340.66 Mn | 14.37% |
| 8 | Dycom Industries | 8.09 Bn | 7.23 Bn | - | - |
| 9 | Aecom | 7.67 Bn | 3.00 Bn | -34.04 Mn | -2.12% |
| 10 | Sunrun | 1.83 Bn | 2.74 Bn | 328.22 Mn | 4.00% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.00% |
| Mar 31, 2026 | -6.02% |
| Dec 31, 2025 | 8.40% |
| Sep 30, 2025 | 0.50% |
| Jun 30, 2025 | -19.72% |
| Mar 31, 2025 | -22.78% |
| Dec 31, 2024 | -628.02% |
| Sep 30, 2024 | -23.79% |
| Jun 30, 2024 | -24.44% |
| Mar 31, 2024 | -39.97% |
| Dec 31, 2023 | -38.24% |
| Sep 30, 2023 | -239.26% |
| Jun 30, 2023 | -34.89% |
| Mar 31, 2023 | -38.60% |
| Dec 31, 2022 | -31.06% |
| Sep 30, 2022 | -21.56% |
| Jun 30, 2022 | -26.57% |
| Mar 31, 2022 | -36.60% |
| Dec 31, 2021 | -47.78% |
| Sep 30, 2021 | -31.43% |
Sunrun 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=RUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RUN", "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=RUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();