Sunrun (RUN) Operating Expenses (2014 - 2026)
Sunrun's Operating Expenses came in at $835.2 million for Q2 2026, up 22.5% from $681.59 million a year earlier and up 9.1% from the prior quarter.
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Analysis
Sunrun (RUN) Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sunrun reported Operating Expenses of $3.38 billion, down 41.1% year-over-year; for FY2025, it came in at $3.08 billion, down 46.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $5.73 billion in FY2024 (+35.3%), $4.24 billion in FY2023 (+42.1%), $2.98 billion in FY2022 (+31.1%) and $2.28 billion in FY2021 (+64.1%).
- The five-year range for quarterly Operating Expenses is $576.69 million (Q3 2021) to $3.77 billion (Q4 2024).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 43.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 428.6%), and the weakest in Q4 2025 (a decline of 71.9%).
- Business Quant data shows RUN's Operating Expenses at $765.74 million (Q1 2026), $1.06 billion (Q4 2025) and $720.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | - |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 292.57 Mn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 972.05 Mn |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | 46.45 Mn |
| 10 | Sunrun | 1.80 Bn | 1.80 Bn | 328.22 Mn | 835.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 835.20 Mn |
| Mar 31, 2026 | 765.74 Mn |
| Dec 31, 2025 | 1.06 Bn |
| Sep 30, 2025 | 720.91 Mn |
| Jun 30, 2025 | 681.59 Mn |
| Mar 31, 2025 | 619.16 Mn |
| Dec 31, 2024 | 3.77 Bn |
| Sep 30, 2024 | 664.95 Mn |
| Jun 30, 2024 | 651.91 Mn |
| Mar 31, 2024 | 641.31 Mn |
| Dec 31, 2023 | 714.12 Mn |
| Sep 30, 2023 | 1.91 Bn |
| Jun 30, 2023 | 796.13 Mn |
| Mar 31, 2023 | 817.54 Mn |
| Dec 31, 2022 | 798.34 Mn |
| Sep 30, 2022 | 768.15 Mn |
| Jun 30, 2022 | 739.89 Mn |
| Mar 31, 2022 | 677.23 Mn |
| Dec 31, 2021 | 643.20 Mn |
| Sep 30, 2021 | 576.69 Mn |
API Access
Sunrun Operating Expenses 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-expenses&ticker=RUN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=RUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();