Sunrun (RUN) Operating Margin (2014 - 2026)
Sunrun (RUN) posted Operating Margin of 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) Operating Margin (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Sunrun was 2.66%, up 172.25 percentage points year-over-year; for FY2025, it was -4.27%, up 177.07 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of +46.17 percentage points (FY2020 to FY2025).
- In prior years, Sunrun's Operating Margin 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).
- Quarterly Operating Margin has run from a low of -628.02% in Q4 2024 to a high of 8.40% in Q4 2025 over five years.
- On a year-over-year basis, Operating Margin has increased in each of the last six quarters, with an average year-over-year change of +43.60 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q4 2025, with a gain of 636.43 percentage points; the weakest was Q4 2024, with a drop of 589.79 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was -6.02% (Q1 2026), 8.40% (Q4 2025) and 0.50% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.89 Bn | 88.97 Bn | 1.55 Bn | 7.27% |
| 2 | Ferrovial | 35.97 Bn | 14.22 Bn | - | - |
| 3 | Emcor | 30.87 Bn | 27.26 Bn | 1.02 Bn | 10.62% |
| 4 | Jacobs Solutions | 16.54 Bn | 11.21 Bn | 810.70 Mn | 7.03% |
| 5 | Mastec | 14.34 Bn | 13.12 Bn | 556.28 Mn | 5.17% |
| 6 | Sterling Infrastructure | 12.71 Bn | 11.04 Bn | 289.96 Mn | 18.77% |
| 7 | IES Holdings | 9.35 Bn | 8.21 Bn | 340.66 Mn | 14.37% |
| 8 | Stantec | 7.98 Bn | 6.90 Bn | 1.36 Bn | 12.58% |
| 9 | Aecom | 7.68 Bn | 2.80 Bn | -34.04 Mn | -2.12% |
| 10 | Sunrun | 1.81 Bn | 1.81 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 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=RUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=RUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();