Sunrun (RUN) Price to Earnings (2016 - 2026)
Sunrun's Price to Earnings was 7.97 in Q2 2026, up 41.7% from the prior quarter.
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Analysis
Sunrun (RUN) Price to Earnings (2016 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Sunrun came in at 9.55.
- In earlier years, Price to Earnings was 29.67 in FY2022.
- Quarterly Price to Earnings has moved between 5.63 (Q1 2026) and 208.77 (Q1 2023) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.97 Bn | 81.16 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.82 Bn | 16.13 Bn | - |
| 3 | Emcor | 29.22 Bn | 25.61 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.13 Bn | 11.78 Bn | 810.70 Mn |
| 5 | Mastec | 13.77 Bn | 12.68 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 11.44 Bn | 9.80 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.80 Bn | 7.66 Bn | 340.66 Mn |
| 8 | Stantec | 8.31 Bn | 7.24 Bn | 1.36 Bn |
| 9 | Aecom | 7.83 Bn | 3.16 Bn | -34.04 Mn |
| 10 | Sunrun | 1.85 Bn | 2.75 Bn | 328.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.97 |
| Mar 31, 2026 | 5.63 |
| Dec 31, 2025 | 9.55 |
| Jun 30, 2023 | 43.72 |
| Mar 31, 2023 | 208.77 |
| Dec 31, 2022 | 29.67 |
| Sep 30, 2022 | 81.79 |
| Sep 30, 2020 | 1,166.68 |
| Mar 31, 2020 | 99.14 |
| Dec 31, 2019 | 62.12 |
| Sep 30, 2019 | 247.81 |
| Dec 31, 2018 | 46.22 |
| Sep 30, 2018 | 13.64 |
| Jun 30, 2018 | 10.95 |
| Mar 31, 2018 | 6.76 |
| Dec 31, 2017 | 4.94 |
| Sep 30, 2017 | 6.72 |
| Jun 30, 2017 | 9.80 |
| Mar 31, 2017 | 6.19 |
| Dec 31, 2016 | 6.04 |
API Access
Sunrun Price to Earnings 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=price-to-earnings&ticker=RUN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=RUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();